{"id":888,"date":"2017-04-06T11:59:20","date_gmt":"2017-04-06T11:59:20","guid":{"rendered":"http:\/\/bear-hearing.dk\/?page_id=888"},"modified":"2020-08-17T12:02:58","modified_gmt":"2020-08-17T12:02:58","slug":"sebastien-santurette","status":"publish","type":"page","link":"https:\/\/bear-hearing.dk\/da\/whoweare\/sebastien-santurette\/","title":{"rendered":"S\u00e9bastien Santurette \u2013 Hvem vi er"},"content":{"rendered":"

Hvem vi er<\/h3>\t\t\t
Projektet havde deltagelse af en gruppe dedikerede mennesker, der kom fra audiologiske klinikker, universiteter, teknologisk service, og h\u00f8reapparatindustrien. Det var medicinske audiologer og otologer, ingeni\u00f8rer, konsulenter og audiologop\u00e6der. Nogle unge, andre mere erfarne. Nogle arbejdede p\u00e5 projektet p\u00e5 fuld tid, andre p\u00e5 deltid og med andre forpligtelser. Enkelte havde direkte erfaringer med h\u00f8reneds\u00e6ttelse og rehabilitering.<\/div>\n\t\t<\/div><\/div><\/div>
<\/div><\/div><\/div>
\n\n
\n\t\"S\u00e9bastien\n<\/div>\n\n<\/div><\/div><\/div>
\n
\n\t

S\u00e9bastien Santurette<\/b><\/a><\/div>\r\nSenior forsker\r\nOticon<\/h4>\n<\/div>\n<\/div><\/div><\/div><\/div>

S\u00e9bastien Santurette<\/h3>\n
\n\t

S\u00e9bastien Santurette har l\u00e6st til ingeni\u00f8r ved Ecole Centrale Paris og har en kandidatgrad i lyd og akustisk teknologi og en PhD grad indenfor elektronik og kommunikation fra Danmarks Tekniske Universitet (DTU). Han har tidligere i BEAR projektet arbejdet som adjunkt i klinisk audiologi og h\u00f8rerehabilitering ved DTU (Hearing Systems, DTU Elektro) og Rigshospitalet (Afdelingen for Otorhinolaryngology, \u00d8re-n\u00e6se-halskirurgisk og Audiologisk Klinik), men har siden 2018 v\u00e6ret ansat ved Oticon. Hans forskningsinteresser omfatter psykoakustik, effekter af h\u00f8retab p\u00e5 lydoplevelsen, audiologi og kompensation for h\u00f8retab, samt effekter af st\u00f8j p\u00e5 mennesker.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

Arbejdsomr\u00e5de<\/h3>\n
\n\t

S\u00e9bastien Santurette bidrager til arbejdsomr\u00e5derne vedr\u00f8rende performance med h\u00f8reapparat<\/a>, nye strategier for h\u00f8reprofiler og tilpasning<\/a>\u00a0og validering af nye strategier<\/a><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

Ressourcer<\/h3>\n
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Publikationer<\/h4>\n
<\/a><\/form>\r\n \r\n \r\n \r\n \r\n \r\n
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2022<\/h3>\r\n <\/td>\r\n <\/tr>

Sanchez-Lopez, Raul; Wu, Mengfan; Fereczkowski, Michal; Santurette, S\u00e9bastien; Baumann, Monika; Kowalewski, Borys; Piechowiak, Tobias; Bisgaard, Nikolai; Ravn, Gert; Narayanan, Sreeram Kaithali; Dau, Torsten; Neher, Tobias<\/p>

Towards Auditory Profile-Based Hearing-Aid Fittings: BEAR Rationale and Clinical Implementation<\/a> Journal Article<\/span> <\/p>

Audiological Research, <\/span>12 <\/span>(5), <\/span>pp. 564-573, <\/span>2022<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{AudRes2022a,
\r\ntitle = {Towards Auditory Profile-Based Hearing-Aid Fittings: BEAR Rationale and Clinical Implementation},
\r\nauthor = {Raul Sanchez-Lopez and Mengfan Wu and Michal Fereczkowski and S\u00e9bastien Santurette and Monika Baumann and Borys Kowalewski and Tobias Piechowiak and Nikolai Bisgaard and Gert Ravn and Sreeram Kaithali Narayanan and Torsten Dau and Tobias Neher},
\r\nurl = {https:\/\/doi.org\/10.3390\/audiolres12050055},
\r\ndoi = {10.3390\/audiolres12050055},
\r\nyear = {2022},
\r\ndate = {2022-10-09},
\r\njournal = {Audiological Research},
\r\nvolume = {12},
\r\nnumber = {5},
\r\npages = {564-573},
\r\nabstract = {(1) Background: To improve hearing-aid rehabilitation, the Danish \u2018Better hEAring Rehabilitation\u2019 (BEAR) project recently
\r\ndeveloped methods for individual hearing loss
\r\ncharacterization and hearing-aid fitting. Four auditory profiles differing in terms of audiometric hearing loss and supra-threshold hearing abilities were identified. To enable auditory profile-based hearing-aid treatment, a fitting rationale leveraging differences in gain prescription and signal-to- noise (SNR) improvement was developed. This report describes the translation of this rationale to clinical devices supplied by three industrial partners. (2) Methods: Regarding the SNR improvement, advanced feature settings were proposed and verified based on free-field measurements made with an acoustic mannikin fitted with the different hearing aids. Regarding the gain prescription, a clinically feasible fitting tool and procedure based on real-ear gain adjustments were developed. (3) Results: Analyses of the collected real-ear gain and SNR improvement data confirmed the feasibility of the clinical implementation. Differences between the auditory profile-based fitting strategy and a current \u2018best practice\u2019 procedure based on the NAL- NL2 fitting rule were verified and are discussed in terms of limitations and future perspectives. (4) Conclusion: Based on a joint effort from academic and industrial partners, the BEAR fitting rationale was transferred to commercially available hearing aids.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

(1) Background: To improve hearing-aid rehabilitation, the Danish \u2018Better hEAring Rehabilitation\u2019 (BEAR) project recently
\r\ndeveloped methods for individual hearing loss
\r\ncharacterization and hearing-aid fitting. Four auditory profiles differing in terms of audiometric hearing loss and supra-threshold hearing abilities were identified. To enable auditory profile-based hearing-aid treatment, a fitting rationale leveraging differences in gain prescription and signal-to- noise (SNR) improvement was developed. This report describes the translation of this rationale to clinical devices supplied by three industrial partners. (2) Methods: Regarding the SNR improvement, advanced feature settings were proposed and verified based on free-field measurements made with an acoustic mannikin fitted with the different hearing aids. Regarding the gain prescription, a clinically feasible fitting tool and procedure based on real-ear gain adjustments were developed. (3) Results: Analyses of the collected real-ear gain and SNR improvement data confirmed the feasibility of the clinical implementation. Differences between the auditory profile-based fitting strategy and a current \u2018best practice\u2019 procedure based on the NAL- NL2 fitting rule were verified and are discussed in terms of limitations and future perspectives. (4) Conclusion: Based on a joint effort from academic and industrial partners, the BEAR fitting rationale was transferred to commercially available hearing aids.<\/div>

Close<\/a><\/p><\/div>

\r\n

2021<\/h3>\r\n <\/td>\r\n <\/tr>

Sanchez-Lopez, Raul; Nielsen, Silje Grini; El-Haj-Ali, Mouhamad; Bianchi, Federica; Fereczkowski, Michal; Ca\u00f1ete, Oscar M; Wu, Mengfan; Neher, Tobias; Dau, Torsten; Santurette, S\u00e9bastien<\/p>

Auditory Tests for Characterizing Hearing Deficits in Listeners With Various Hearing Abilities: The BEAR Test Battery<\/a> Journal Article<\/span> <\/p>

Frontiers in Neuroscience, <\/span>15 <\/span>(724007), <\/span>pp. 1-19, <\/span>2021<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{Frontiers_sept_2021,
\r\ntitle = {Auditory Tests for Characterizing Hearing Deficits in Listeners With Various Hearing Abilities: The BEAR Test Battery},
\r\nauthor = {Raul Sanchez-Lopez and Silje Grini Nielsen and Mouhamad El-Haj-Ali and Federica Bianchi and Michal Fereczkowski and Oscar M Ca\u00f1ete and Mengfan Wu and Tobias Neher and Torsten Dau and S\u00e9bastien Santurette},
\r\nurl = {https:\/\/www.frontiersin.org\/articles\/10.3389\/fnins.2021.724007\/full},
\r\ndoi = {10.3389\/fnins.2021.724007},
\r\nyear = {2021},
\r\ndate = {2021-09-29},
\r\njournal = {Frontiers in Neuroscience},
\r\nvolume = {15},
\r\nnumber = {724007},
\r\npages = {1-19},
\r\nabstract = {The Better hEAring Rehabilitation (BEAR) project aims to provide a new clinical profiling tool\u2014a test battery\u2014for hearing loss characterization. Although the loss of sensitivity can be efficiently measured using pure-tone audiometry, the assessment of supra-threshold hearing deficits remains a challenge. In contrast to the classical \u201cattenuation-distortion\u201d model, the proposed BEAR approach is based on the hypothesis that the hearing abilities of a given listener can be characterized along two dimensions, reflecting independent types of perceptual deficits (distortions). A data-driven approach provided evidence for the existence of different auditory profiles with different degrees of distortions. Ten tests were included in a test battery, based on their clinical feasibility, time efficiency, and related evidence from the literature. The tests were divided into six categories: audibility, speech perception, binaural processing abilities, loudness perception, spectro-temporal modulation sensitivity, and spectro-temporal resolution. Seventy-five listeners with symmetric, mild-to-severe sensorineural hearing loss were selected from a clinical population. The analysis of the results showed interrelations among outcomes related to
\r\nhigh-frequency processing and outcome measures related to low-frequency processing abilities. The results showed the ability of the tests to reveal differences among individuals and their potential use in clinical settings. },
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

The Better hEAring Rehabilitation (BEAR) project aims to provide a new clinical profiling tool\u2014a test battery\u2014for hearing loss characterization. Although the loss of sensitivity can be efficiently measured using pure-tone audiometry, the assessment of supra-threshold hearing deficits remains a challenge. In contrast to the classical \u201cattenuation-distortion\u201d model, the proposed BEAR approach is based on the hypothesis that the hearing abilities of a given listener can be characterized along two dimensions, reflecting independent types of perceptual deficits (distortions). A data-driven approach provided evidence for the existence of different auditory profiles with different degrees of distortions. Ten tests were included in a test battery, based on their clinical feasibility, time efficiency, and related evidence from the literature. The tests were divided into six categories: audibility, speech perception, binaural processing abilities, loudness perception, spectro-temporal modulation sensitivity, and spectro-temporal resolution. Seventy-five listeners with symmetric, mild-to-severe sensorineural hearing loss were selected from a clinical population. The analysis of the results showed interrelations among outcomes related to
\r\nhigh-frequency processing and outcome measures related to low-frequency processing abilities. The results showed the ability of the tests to reveal differences among individuals and their potential use in clinical settings. <\/div>

Close<\/a><\/p><\/div>

Sanchez-Lopez, Raul; Fereczkowski, Michal; Santurette, S\u00e9bastien; Dau, Torsten; Neher, Tobias<\/p>

Towards Auditory Profile-Based Hearing-Aid Fitting: Fitting Rationale and Pilot Evaluation<\/a> Journal Article<\/span> <\/p>

Audiology Research, <\/span>11 <\/span>(1), <\/span>pp. 10\u201321, <\/span>2021<\/span>, ISBN: 2039-4349<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{audiolres11010002,
\r\ntitle = {Towards Auditory Profile-Based Hearing-Aid Fitting: Fitting Rationale and Pilot Evaluation},
\r\nauthor = {Raul Sanchez-Lopez and Michal Fereczkowski and S\u00e9bastien Santurette and Torsten Dau and Tobias Neher},
\r\nurl = {https:\/\/www.mdpi.com\/2039-4349\/11\/1\/2}},
\r\ndoi = {10.3390\/audiolres11010002},
\r\nisbn = {2039-4349},
\r\nyear = {2021},
\r\ndate = {2021-01-16},
\r\njournal = {Audiology Research},
\r\nvolume = {11},
\r\nnumber = {1},
\r\npages = {10--21},
\r\nabstract = {Background\u2014The clinical characterization of hearing deficits for hearing-aid fitting purposes is typically based on the pure-tone audiogram only. In a previous study, a group of hearing-impaired listeners completed a comprehensive test battery that was designed to tap into different dimensions of hearing abilities. A data-driven analysis of the data yielded four clinically relevant patient sub-populations or \u201cauditory profiles\u201d. The purpose of the current study was to propose and pilot-test profile-based hearing-aid settings in order to explore their potential for providing more targeted hearing-aid treatment. Methods\u2014Four candidate hearing-aid settings were developed and evaluated by a subset of the participants tested previously. The evaluation consisted of multi-comparison preference ratings that were carried out in realistic sound scenarios. Results\u2014Listeners belonging to the different auditory profiles showed different patterns of preference for the tested hearing-aid settings that were largely consistent with the expectations. Conclusions\u2014The results of this pilot evaluation support further investigations into stratified, profile-based hearing-aid fitting with wearable hearing aids.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

\r\n

2020<\/h3>\r\n <\/td>\r\n <\/tr>

Wu, Mengfan; Sanchez-Lopez, Raul; El-Haj-Ali, Mouhamad; Nielsen, Silje G; Fereczkowski, Michal; Dau, Torsten; Santurette, S\u00e9bastien; Neher, Tobias<\/p>

Investigating the Effects of Four Auditory Profiles on Speech Recognition, Overall Quality, and Noise Annoyance With Simulated Hearing-Aid Processing Strategies<\/a> Journal Article<\/span> <\/p>

Trends in Hearing, <\/span>24 <\/span>, pp. 1-12, <\/span>2020<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{doi:10.1177\/2331216520960861,
\r\ntitle = {Investigating the Effects of Four Auditory Profiles on Speech Recognition, Overall Quality, and Noise Annoyance With Simulated Hearing-Aid Processing Strategies},
\r\nauthor = {Mengfan Wu and Raul Sanchez-Lopez and Mouhamad El-Haj-Ali and Silje G Nielsen and Michal Fereczkowski and Torsten Dau and S\u00e9bastien Santurette and Tobias Neher},
\r\nurl = {https:\/\/doi.org\/10.1177%2F2331216520960861},
\r\ndoi = {10.1177\/2331216520960861},
\r\nyear = {2020},
\r\ndate = {2020-10-19},
\r\njournal = {Trends in Hearing},
\r\nvolume = {24},
\r\npages = {1-12},
\r\nabstract = {Effective hearing aid (HA) rehabilitation requires personalization of the HA fitting parameters, but in current clinical practice only the gain prescription is typically individualized. To optimize the fitting process, advanced HA settings such as noise reduction and microphone directionality can also be tailored to individual hearing deficits. In two earlier studies, an auditory test battery and a data-driven approach that allow classifying hearing-impaired listeners into four auditory profiles were developed. Because these profiles were found to be characterized by markedly different hearing abilities, it was hypothesized that more tailored HA fittings would lead to better outcomes for such listeners. Here, we explored potential interactions between the four auditory profiles and HA outcome as assessed with three different measures (speech recognition, overall quality, and noise annoyance) and six HA processing strategies with various noise reduction, directionality, and compression settings. Using virtual acoustics, a realistic speech-in-noise environment was simulated. The stimuli were generated using a HA simulator and presented to 49 habitual HA users who had previously been profiled. The four auditory profiles differed clearly in terms of their mean aided speech reception thresholds, thereby implying different needs in terms of signal-to-noise ratio improvement. However, no clear interactions with the tested HA processing strategies were found. Overall, these findings suggest that the auditory profiles can capture some of the individual differences in HA processing needs and that further research is required to identify suitable HA solutions for them. },
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

Effective hearing aid (HA) rehabilitation requires personalization of the HA fitting parameters, but in current clinical practice only the gain prescription is typically individualized. To optimize the fitting process, advanced HA settings such as noise reduction and microphone directionality can also be tailored to individual hearing deficits. In two earlier studies, an auditory test battery and a data-driven approach that allow classifying hearing-impaired listeners into four auditory profiles were developed. Because these profiles were found to be characterized by markedly different hearing abilities, it was hypothesized that more tailored HA fittings would lead to better outcomes for such listeners. Here, we explored potential interactions between the four auditory profiles and HA outcome as assessed with three different measures (speech recognition, overall quality, and noise annoyance) and six HA processing strategies with various noise reduction, directionality, and compression settings. Using virtual acoustics, a realistic speech-in-noise environment was simulated. The stimuli were generated using a HA simulator and presented to 49 habitual HA users who had previously been profiled. The four auditory profiles differed clearly in terms of their mean aided speech reception thresholds, thereby implying different needs in terms of signal-to-noise ratio improvement. However, no clear interactions with the tested HA processing strategies were found. Overall, these findings suggest that the auditory profiles can capture some of the individual differences in HA processing needs and that further research is required to identify suitable HA solutions for them. <\/div>

Close<\/a><\/p><\/div>

Sanchez-Lopez, Raul H; Fereczkowski, Michal; Neher, Tobias; Santurette, S\u00e9bastien; Dau, Torsten<\/p>

Robust auditory profiling: Improved data-driven method and profile definitions for better hearing rehabilitation<\/a> Inproceedings<\/span> <\/p>

Kressner, Abigail Anne; Regev, Jonathan; Christensen-Dalsgaard, Jakob; Tranebj\u00e6rg, Lisbeth; Santurette, S\u00e9bastien; Dau, Torsten (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research, <\/span>pp. 281-288, <\/span>2020<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{ISAAR2019_Raul_print,
\r\ntitle = {Robust auditory profiling: Improved data-driven method and profile definitions for better hearing rehabilitation},
\r\nauthor = {Raul H Sanchez-Lopez and Michal Fereczkowski and Tobias Neher and S\u00e9bastien Santurette and Torsten Dau},
\r\neditor = {Abigail Anne Kressner and Jonathan Regev and Jakob Christensen-Dalsgaard and Lisbeth Tranebj\u00e6rg and S\u00e9bastien Santurette and Torsten Dau },
\r\nurl = {https:\/\/proceedings.isaar.eu\/index.php\/isaarproc\/article\/view\/2019-32},
\r\nyear = {2020},
\r\ndate = {2020-05-13},
\r\nbooktitle = {Proceedings of the International Symposium on Auditory and Audiological Research},
\r\nvolume = {7},
\r\npages = {281-288},
\r\nabstract = {Currently, the clinical characterization of hearing deficits for hearing-aid fitting is based on the pure-tone audiogram only. This relies on the assumption that the audiogram can predict performance in complex, supra-threshold tasks. Sanchez-Lopez et al. (2018) hypothesized that the hearing deficits of a given listener, both at threshold and supra-threshold levels, result from two independent types of auditory distortions. The authors performed a data-driven analysis of two large datasets with results from several tests, which led to the identification of four auditory profiles. However, the definition of the two types of distortion was challenged by differences between the two datasets in terms of the tests and listeners considered. In the Better hEAring Rehabilitation (BEAR) project, a new dataset was generated with the aim of overcoming these limitations. A heterogeneous group of listeners was tested using measures of speech intelligibility, loudness perception, binaural processing abilities and spectro-temporal resolution. As a consequence, the auditory profiles of Sanchez-Lopez et al. (2018) were refined. The updated auditory profiles, together with the investigation of optimal hearing-aid compensation strategies, are expected to form a solid basis for improved hearing-aid fitting.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

Piechowiak, Tobias; Zapala, David<\/p>

Using BEAR data to obtain reduced versions of the SSQ-12 and IOI-HA-7 questionnaires Tobias Piechowiak<\/a> Inproceedings<\/span> <\/p>

Kressner, Abigail Anne; Regev, Jonathan; Christensen-Dalsgaard, Jakob; Tranebj\u00e6rg, Lisbeth; Santurette, S\u00e9bastien; Dau, Torsten (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research, <\/span>pp. 237-264, <\/span>2020<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{ISAAR2019_TobiasP_pring\u00b4t,
\r\ntitle = {Using BEAR data to obtain reduced versions of the SSQ-12 and IOI-HA-7 questionnaires Tobias Piechowiak},
\r\nauthor = {Tobias Piechowiak and David Zapala},
\r\neditor = {Abigail Anne Kressner and Jonathan Regev and Jakob Christensen-Dalsgaard and Lisbeth Tranebj\u00e6rg and S\u00e9bastien Santurette and Torsten Dau },
\r\nurl = {https:\/\/proceedings.isaar.eu\/index.php\/isaarproc\/article\/view\/2019-29},
\r\nyear = {2020},
\r\ndate = {2020-05-01},
\r\nbooktitle = {Proceedings of the International Symposium on Auditory and Audiological Research},
\r\nvolume = {7},
\r\npages = {237-264},
\r\nabstract = {The Speech, Spatial and Qualities of Hearing scale (SSQ-12) and the International Outcome Inventory for Hearing Aids (IOI-HA-7) are questionnaires containing 12 and 7 items, respectively. They are designed to subjectively assess hearing ability and are complementary to behavioral measures. Both questionnaires have been applied across a range of clinical and clinical research-related contexts, for example for assessing outcomes of e.g., cochlear implants and hearing aids. However, due to time constraints neither of the questionnaires seem to be an inherent part of standard clinical quality control. The Better Hearing Rehabilitation (BEAR) database contains SSQ- 12 and IOI-HA-7 scores of around 1600 subjects. Applying an Exploratory Factor Analysis (EFA) on the data from the 2nd visit allowed us to reduce the SSQ-12 to 5 questions and the IOI-HA to 3 remaining questions. The SSQ-5 explains 79% of the variance in the SSQ-12 data while the IOI-HA-3 accounts for 70% of the variance in the original IOI-HA-7. These new versions have the potential to be used more efficiently by shortening time and focusing on the items that are most effective to reflect individual benefit. Furthermore, the analysis seems to confirm the validity of such a reduction from similar findings in the literature that were done on different datasets.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

The Speech, Spatial and Qualities of Hearing scale (SSQ-12) and the International Outcome Inventory for Hearing Aids (IOI-HA-7) are questionnaires containing 12 and 7 items, respectively. They are designed to subjectively assess hearing ability and are complementary to behavioral measures. Both questionnaires have been applied across a range of clinical and clinical research-related contexts, for example for assessing outcomes of e.g., cochlear implants and hearing aids. However, due to time constraints neither of the questionnaires seem to be an inherent part of standard clinical quality control. The Better Hearing Rehabilitation (BEAR) database contains SSQ- 12 and IOI-HA-7 scores of around 1600 subjects. Applying an Exploratory Factor Analysis (EFA) on the data from the 2nd visit allowed us to reduce the SSQ-12 to 5 questions and the IOI-HA to 3 remaining questions. The SSQ-5 explains 79% of the variance in the SSQ-12 data while the IOI-HA-3 accounts for 70% of the variance in the original IOI-HA-7. These new versions have the potential to be used more efficiently by shortening time and focusing on the items that are most effective to reflect individual benefit. Furthermore, the analysis seems to confirm the validity of such a reduction from similar findings in the literature that were done on different datasets.<\/div>

Close<\/a><\/p><\/div>

Lund, Katja; Ordo\u00f1ez, Rodrigo; Nielsen, Jens Bo; Hammersh\u00f8i, Dorte<\/p>

\u201cYes, I have experienced that!\u201d \u2013 How daily life experiences may be harvested from new hearing aid users<\/a> Inproceedings<\/span> <\/p>

Kressner, Abigail Anne; Regev, Jonathan; Christensen-Dalsgaard, Jakob; Tranebj\u00e6rg, Lisbeth; Santurette, S\u00e9bastien; Dau, Torsten (Ed.): Proceedings of the International Symposium on Audiogory and Audiological Research, <\/span>pp. 381-388, <\/span>2020<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{ISAAR2019Klu_print,
\r\ntitle = {\u201cYes, I have experienced that!\u201d \u2013 How daily life experiences may be harvested from new hearing aid users},
\r\nauthor = {Katja Lund and Rodrigo Ordo\u00f1ez and Jens Bo Nielsen and Dorte Hammersh\u00f8i},
\r\neditor = {Abigail Anne Kressner and Jonathan Regev and Jakob Christensen-Dalsgaard and Lisbeth Tranebj\u00e6rg and S\u00e9bastien Santurette and Torsten Dau },
\r\nurl = {https:\/\/proceedings.isaar.eu\/index.php\/isaarproc\/article\/view\/2019-44},
\r\nyear = {2020},
\r\ndate = {2020-05-01},
\r\nbooktitle = {Proceedings of the International Symposium on Audiogory and Audiological Research},
\r\nvolume = {7},
\r\npages = {381-388},
\r\nabstract = {Both auditory and non-auditory aspects of the rehabilitation process play a role in successful hearing aid uptake. The sound may be experienced differently in the clinic compared to daily life and the skills and knowledge related to HA use vary from patient to patient. The aim of the present study is to assess daily life experiences of new hearing aid users and to explore ways to utilize these assessments in a follow-up situation. The approach is based on online reporting, where the patients over a period of two months \u201cswipe\u201d through 453 possible experiences related to HA use. Seventeen patients volunteered to register experiences for a period of two months, and participated in a follow-up interview, where the registered data were presented. Results suggest that data can shed light on the development within various categories of hearing aid experience and promote reflection on the hearing rehabilitation process.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

Hammersh\u00f8i, Dorte; Wolff, Anne; Andersen, Lykke Junker; Mortensen, Rikke Louise; Nielsen, Mads Dalsgaard; Larsen, Stefanie Aagard Skov<\/p>

A word elicitation study including the development of scales characterizing aided listening experience<\/a> Inproceedings<\/span> <\/p>

Kressner, Abigail Anne; Regev, Jonathan; Christensen-Dalsgaard, Jakob; Tranebj\u00e6rg, Lisbeth; Santurette, S\u00e9bastien; Dau, Torsten (Ed.): Proceedings of the International Symposium on Audiogory and Audiological Research, <\/span>pp. 297-304, <\/span>2020<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{ISAARPDP780print,
\r\ntitle = {A word elicitation study including the development of scales characterizing aided listening experience},
\r\nauthor = {Dorte Hammersh\u00f8i and Anne Wolff and Lykke Junker Andersen and Rikke Louise Mortensen and Mads Dalsgaard Nielsen and Stefanie Aagard Skov Larsen},
\r\neditor = {Abigail Anne Kressner and Jonathan Regev and Jakob Christensen-Dalsgaard and Lisbeth Tranebj\u00e6rg and S\u00e9bastien Santurette and Torsten Dau },
\r\nurl = {https:\/\/proceedings.isaar.eu\/index.php\/isaarproc\/article\/view\/2019-34},
\r\nyear = {2020},
\r\ndate = {2020-04-22},
\r\nbooktitle = {Proceedings of the International Symposium on Audiogory and Audiological Research},
\r\nvolume = {7},
\r\npages = {297-304},
\r\nabstract = {The purpose of the present study was to identify the terms hearing aid professionals and their patients use in the communication about the aided listening experience and develop scales that would help characterize this experience in the domain of corrective actions that a hearing care professional may apply. The study comprised a word elicitation task based on observations and interviews from consultations at the Aalborg University Hospital. The results were analyzed by developing an affinity diagram. The resulting 80 words were then sorted by three hearing professionals in a supervised card sorting session. The resulting attributes were included in a 63-point scale design, which (in a usability test including eight hearing-aid users) were considered easy to survey and use, but also including some redundancy and ambiguities. The results suggest that it is possible to develop scales based on the voluntary statements expressed during actual consultations, but it remains uncertain whether the expressions will be interpreted the same way by other patients and professionals.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

Narayanan, Sreeram Kaithali; Piechowiak, Tobias; Wolff, Anne; Houm\u00f8ller, Sabina Storbjerg; Narne, Vijaya K; Loquet, G\u00e9rard; Hougaard, Dan Dupont; Gaihede, Michael; Schmidt, Jesper Hvass; Hammersh\u00f8i, Dorte<\/p>

Speech related hearing aid benefit index derived from standardized self-reported questionnaire data<\/a> Inproceedings<\/span> <\/p>

Kressner, Abigail Anne; Regev, Jonathan; Christensen-Dalsgaard, Jakob; Tranebj\u00e6rg, Lisbeth; Santurette, S\u00e9bastien; Dau, Torsten (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research, <\/span>2020<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{ISAAR2019_sreeram_print,
\r\ntitle = {Speech related hearing aid benefit index derived from standardized self-reported questionnaire data},
\r\nauthor = {Sreeram Kaithali Narayanan and Tobias Piechowiak and Anne Wolff and Sabina Storbjerg Houm\u00f8ller and Vijaya K. Narne and G\u00e9rard Loquet and Dan Dupont Hougaard and Michael Gaihede and Jesper Hvass Schmidt and Dorte Hammersh\u00f8i},
\r\neditor = {Abigail Anne Kressner and Jonathan Regev and Jakob Christensen-Dalsgaard and Lisbeth Tranebj\u00e6rg and S\u00e9bastien Santurette and Torsten Dau },
\r\nurl = {https:\/\/proceedings.isaar.eu\/index.php\/isaarproc\/article\/view\/2019-45},
\r\nyear = {2020},
\r\ndate = {2020-04-14},
\r\nbooktitle = {Proceedings of the International Symposium on Auditory and Audiological Research},
\r\nvolume = {7},
\r\nabstract = {Speech understanding in noisy environments has been the most desired hearing-aid (HA) benefit sought by HA users. This paper examines the possibility of developing a speech-related HA benefit index from the speech- related questions in the self-reported questionnaire data. One question from Health-Related Quality of Life (HRQoL) instrument 15D and nine questions from the Speech, Spatial and Qualities of Hearing Scale (SSQ) having a direct implication to speech were selected for the analysis. After applying weights relevant to 15D, a delta of base-line (prior to HA fitting) and follow-up (two months after the initial fitting) responses to the selected questions were determined. A principal component analysis (PCA) was performed on the scaled and centered delta values. The resultant principal component scores were used to derive the composite index indicative of speech-related HA benefit.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

Wu, Mengfan; Lopez, Raul Sanchez; El-Haj-Ali, Mouhamad; Nielsen, Silje Grini; Fereczkowski, Michal; Dau, Torsten; Santurette, S\u00e9bastien; Neher, Tobias<\/p>

Perceptual evaluation of six hearing-aid processing strategies from the perspective of auditory profiling: Insights from the BEAR project<\/a> Inproceedings<\/span> <\/p>

Kressner, Abigail Anne; Regev, Jonathan; Christensen-Dalsgaard, Jakob; Tranebj\u00e6rg, Lisbeth; Santurette, S\u00e9bastien; Dau, Torsten (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research, <\/span>pp. 265-272, <\/span>2020<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{ISAAR2019_WU_print,
\r\ntitle = {Perceptual evaluation of six hearing-aid processing strategies from the perspective of auditory profiling: Insights from the BEAR project},
\r\nauthor = {Mengfan Wu and Raul Sanchez Lopez and Mouhamad El-Haj-Ali and Silje Grini Nielsen and Michal Fereczkowski and Torsten Dau and S\u00e9bastien Santurette and Tobias Neher},
\r\neditor = {Abigail Anne Kressner and Jonathan Regev and Jakob Christensen-Dalsgaard and Lisbeth Tranebj\u00e6rg and S\u00e9bastien Santurette and Torsten Dau },
\r\nurl = {https:\/\/proceedings.isaar.eu\/index.php\/isaarproc\/article\/view\/2019-30},
\r\nyear = {2020},
\r\ndate = {2020-04-08},
\r\nbooktitle = {Proceedings of the International Symposium on Auditory and Audiological Research},
\r\nvolume = {7},
\r\npages = {265-272},
\r\nabstract = {The current study forms part of the Better hEAring Rehabilitation (BEAR) project, which aims at developing new clinical tools for characterizing individual hearing loss and for assessing hearing-aid (HA) benefit. Its purpose was to investigate potential interactions between four auditory profiles and three measures of HA outcome obtained for six HA processing strategies. Measurements were carried out in a realistic noise environment at signal-to-noise ratios that were set based on individual aided speech reception thresholds (SRT50). Speech recognition scores and ratings of overall quality and noise annoyance were collected in two spatial conditions. The stimuli were generated with the help of a HA simulator and presented via headphones to 60 older, habitual HA users who had previously been profiled based on a data-driven approach (Sanchez-Lopez et al., 2019). The four auditory profiles differed significantly in terms of mean aided SRT50 and interacted significantly with the HA processing strategies for speech recognition in one spatial condition. Moreover, the correlation-pattern between the speech recognition scores and subjective ratings differed among the auditory profiles.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

Sanchez-Lopez, Raul; Fereczkowski, Michal; Neher, Tobias; Santurette, S\u00e9bastien; Dau, Torsten<\/p>

Robust Data-Driven Auditory Profiling Towards Precision Audiology<\/a> Journal Article<\/span> <\/p>

Trends in Hearing, <\/span>24 <\/span>, pp. 1-19, <\/span>2020<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{doi:10.1177\/2331216520973539,
\r\ntitle = {Robust Data-Driven Auditory Profiling Towards Precision Audiology},
\r\nauthor = {Raul Sanchez-Lopez and Michal Fereczkowski and Tobias Neher and S\u00e9bastien Santurette and Torsten Dau},
\r\nurl = {https:\/\/doi.org\/10.1177%2F2331216520973539},
\r\ndoi = {10.1177\/2331216520973539},
\r\nyear = {2020},
\r\ndate = {2020-01-01},
\r\njournal = {Trends in Hearing},
\r\nvolume = {24},
\r\npages = {1-19},
\r\nabstract = {The sources and consequences of a sensorineural hearing loss are diverse. While several approaches have aimed at disentangling the physiological and perceptual consequences of different etiologies, hearing deficit characterization and rehabilitation have been dominated by the results from pure-tone audiometry. Here, we present a novel approach based on data-driven profiling of perceptual auditory deficits that attempts to represent auditory phenomena that are usually hidden by, or entangled with, audibility loss. We hypothesize that the hearing deficits of a given listener, both at hearing threshold and at suprathreshold sound levels, result from two independent types of \u201cauditory distortions.\u201d In this two-dimensional space, four distinct \u201cauditory profiles\u201d can be identified. To test this hypothesis, we gathered a data set consisting of a heterogeneous group of listeners that were evaluated using measures of speech intelligibility, loudness perception, binaural processing abilities, and spectrotemporal resolution. The subsequent analysis revealed that distortion type-I was associated with elevated hearing thresholds at high frequencies and reduced temporal masking release and was significantly correlated with elevated speech reception thresholds in noise. Distortion type-II was associated with low-frequency hearing loss and abnormally steep loudness functions. The auditory profiles represent four robust subpopulations of hearing-impaired listeners that exhibit different degrees of perceptual distortions. The four auditory profiles may provide a valuable basis for improved hearing rehabilitation, for example, through profile-based hearing-aid fitting.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

The sources and consequences of a sensorineural hearing loss are diverse. While several approaches have aimed at disentangling the physiological and perceptual consequences of different etiologies, hearing deficit characterization and rehabilitation have been dominated by the results from pure-tone audiometry. Here, we present a novel approach based on data-driven profiling of perceptual auditory deficits that attempts to represent auditory phenomena that are usually hidden by, or entangled with, audibility loss. We hypothesize that the hearing deficits of a given listener, both at hearing threshold and at suprathreshold sound levels, result from two independent types of \u201cauditory distortions.\u201d In this two-dimensional space, four distinct \u201cauditory profiles\u201d can be identified. To test this hypothesis, we gathered a data set consisting of a heterogeneous group of listeners that were evaluated using measures of speech intelligibility, loudness perception, binaural processing abilities, and spectrotemporal resolution. The subsequent analysis revealed that distortion type-I was associated with elevated hearing thresholds at high frequencies and reduced temporal masking release and was significantly correlated with elevated speech reception thresholds in noise. Distortion type-II was associated with low-frequency hearing loss and abnormally steep loudness functions. The auditory profiles represent four robust subpopulations of hearing-impaired listeners that exhibit different degrees of perceptual distortions. The four auditory profiles may provide a valuable basis for improved hearing rehabilitation, for example, through profile-based hearing-aid fitting.<\/div>

Close<\/a><\/p><\/div>

\r\n

2019<\/h3>\r\n <\/td>\r\n <\/tr>

Sanchez-Lopez, Raul; Nielsen, Silje; Ca\u00f1ete, Oscar; Fereczkowski, Michal; Wu, Mengfan; Neher, Tobias; Dau, Torsten; Santurette, Sebasti\u00e9n<\/p>

A Clinical Test Battery for Better hEAring Rehabilitation (BEAR). Towards the prediction of individual auditory deficits and hearing-aid benefit<\/a> Inproceedings<\/span> <\/p>

Proceedings of the 23rd International Congress on Acoustics (ICA 2019), Aachen, Germany, Sept 9-13 2019., <\/span>pp. 3841-3848, <\/span>International Commission of Acoustics <\/span>2019<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{ica2019rsl,
\r\ntitle = {A Clinical Test Battery for Better hEAring Rehabilitation (BEAR). Towards the prediction of individual auditory deficits and hearing-aid benefit},
\r\nauthor = {Raul Sanchez-Lopez and Silje Nielsen and Oscar Ca\u00f1ete and Michal Fereczkowski and Mengfan Wu and Tobias Neher and Torsten Dau and Sebasti\u00e9n Santurette},
\r\nurl = {http:\/\/pub.dega-akustik.de\/ICA2019\/data\/articles\/000470.pdf},
\r\nyear = {2019},
\r\ndate = {2019-09-11},
\r\nbooktitle = {Proceedings of the 23rd International Congress on Acoustics (ICA 2019), Aachen, Germany, Sept 9-13 2019.},
\r\npages = {3841-3848},
\r\norganization = {International Commission of Acoustics},
\r\nabstract = {One aim of the Better hEAring Rehabilitation (BEAR) project is to define a new clinical profiling tool, a test-battery, for individualized hearing loss characterization. Recently, Sanchez-Lopez et al. (ISAAR 2019) proposed a test battery for hearing deficit characterization. The proposed tests were divided into six categories: audibility, middle-ear analysis, speech perception, binaural-processing abilities, loudness perception, and spectro-temporal resolution. The results of 54 listeners were analyzed using a data-driven approach (Sanchez-Lopez et al., 2018), which provided evidence for the existence of two independent sources of distortion and four different auditory profiles. The classification of the listeners into auditory profiles allows the prediction of the performance of the listeners on different psychoacoustic tasks as well as their expected performance while wearing hearing aids. For the classification, a decision tree with only the most predictive tests is desirable for a correct classification of the listeners. The present study aims to explore the optimal decision tree and to propose a reduced, reliable and time-efficient test battery that can classify listeners into the four auditory profiles in a clinical environment. The clinical test battery will be used in a large-scale study that will help implement a protocol for better hearing rehabilitation.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

One aim of the Better hEAring Rehabilitation (BEAR) project is to define a new clinical profiling tool, a test-battery, for individualized hearing loss characterization. Recently, Sanchez-Lopez et al. (ISAAR 2019) proposed a test battery for hearing deficit characterization. The proposed tests were divided into six categories: audibility, middle-ear analysis, speech perception, binaural-processing abilities, loudness perception, and spectro-temporal resolution. The results of 54 listeners were analyzed using a data-driven approach (Sanchez-Lopez et al., 2018), which provided evidence for the existence of two independent sources of distortion and four different auditory profiles. The classification of the listeners into auditory profiles allows the prediction of the performance of the listeners on different psychoacoustic tasks as well as their expected performance while wearing hearing aids. For the classification, a decision tree with only the most predictive tests is desirable for a correct classification of the listeners. The present study aims to explore the optimal decision tree and to propose a reduced, reliable and time-efficient test battery that can classify listeners into the four auditory profiles in a clinical environment. The clinical test battery will be used in a large-scale study that will help implement a protocol for better hearing rehabilitation.<\/div>

Close<\/a><\/p><\/div>

Wu, Mengfan; Sanchez-Lopez, Raul; El-Haj-Ali, Mouhamad; Nielsen, Silje; Fereczkowski, Michal; Dau, Torsten; Santurette, Sebasti\u00e9n; Neher, Tobias<\/p>

Assessing the interaction between different auditory profiles and benefit from six hearing aid processing strategies: Insights from the Better hEAring Rehabilitation (BEAR) project<\/a> Inproceedings<\/span> <\/p>

Proceedings of the 23rd International Congress on Acoustics (ICA 2019), Aachen, Germany, Sept 9-13 2019., <\/span>pp. 3849-3856, <\/span>2019<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{ica2019mw,
\r\ntitle = {Assessing the interaction between different auditory profiles and benefit from six hearing aid processing strategies: Insights from the Better hEAring Rehabilitation (BEAR) project},
\r\nauthor = {Mengfan Wu and Raul Sanchez-Lopez and Mouhamad El-Haj-Ali and Silje Nielsen and Michal Fereczkowski and Torsten Dau and Sebasti\u00e9n Santurette and Tobias Neher},
\r\nurl = {http:\/\/pub.dega-akustik.de\/ICA2019\/data\/articles\/000335.pdf},
\r\nyear = {2019},
\r\ndate = {2019-09-11},
\r\nbooktitle = {Proceedings of the 23rd International Congress on Acoustics (ICA 2019), Aachen, Germany, Sept 9-13 2019.},
\r\npages = {3849-3856},
\r\nabstract = {The current study forms part of the Better hEAring Rehabilitation (BEAR) project, which aims at developing and evaluating new clinical tools for individual hearing loss characterization and hearing aid benefit assessment. The purpose of the current study was to assess the interaction between four different auditory profiles and two outcome measures of aided performance obtained for six selected hearing-aid processing strategies (Sanchez-Lopez et al., Euronoise 2018). Sixty older habitual hearing-aid users who participated in the study were previously classified into four auditory profiles based on a data-driven approach (Sanchez-Lopez et al., Trends in Hearing 2018). All stimuli were generated with the help of a hearing aid simulator and presented via headphones. Speech recognition in noise was assessed at fixed signal-to-noise ratios based on individual 50%-correct speech reception thresholds measured in a realistic noise environment. Subjective ratings of overall quality and noise annoyance were measured using a multiple stimulus comparison paradigm. It is hypothesized that the four auditory profiles will have different needs in terms of compensation so perceptual outcomes for the six hearing aid processing strategies are expected to be different.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

\r\n

2018<\/h3>\r\n <\/td>\r\n <\/tr>

Lopez, Raul Sanchez; Bianchi, Federica; Fereczkowski, Michal; Santurette, S\u00e9bastien; Dau, Torsten<\/p>

Data-Driven Approach for Auditory Profiling and Characterization of Individual Hearing Loss<\/a> Journal Article<\/span> <\/p>

Trends of Hearing, <\/span>22 <\/span>(ISAAR special issue), <\/span>pp. 1-12, <\/span>2018<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{TiH2018a,
\r\ntitle = {Data-Driven Approach for Auditory Profiling and Characterization of Individual Hearing Loss},
\r\nauthor = {Raul Sanchez Lopez and Federica Bianchi and Michal Fereczkowski and S\u00e9bastien Santurette and Torsten Dau},
\r\nurl = {https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/2331216518807400},
\r\ndoi = {10.1177\/2331216518807400},
\r\nyear = {2018},
\r\ndate = {2018-11-01},
\r\njournal = {Trends of Hearing},
\r\nvolume = {22},
\r\nnumber = {ISAAR special issue},
\r\npages = {1-12},
\r\nabstract = {Pure-tone audiometry still represents the main measure to characterize individual hearing loss and the basis for hearing-aid fitting. However, the perceptual consequences of hearing loss are typically associated not only with a loss of sensitivity but also with a loss of clarity that is not captured by the audiogram. A detailed characterization of a hearing loss may be complex and needs to be simplified to efficiently explore the specific compensation needs of the individual listener. Here, it is hypothesized that any listener\u2019s hearing profile can be characterized along two dimensions of distortion: Type I and Type II. While Type I can be linked to factors affecting audibility, Type II reflects non-audibility-related distortions. To test this hypothesis, the individual performance data from two previous studies were reanalyzed using an unsupervised-learning technique to identify extreme patterns in the data, thus forming the basis for different auditory profiles. Next, a decision tree was determined to classify the listeners into one of the profiles. The analysis provides evidence for the existence of four profiles in the data. The most significant predictors for profile identification were related to binaural processing, auditory nonlinearity, and speech-in-noise perception. This approach could be valuable for analyzing other data sets to select the most relevant tests for auditory profiling and propose more efficient hearing-deficit compensation strategies.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

Pure-tone audiometry still represents the main measure to characterize individual hearing loss and the basis for hearing-aid fitting. However, the perceptual consequences of hearing loss are typically associated not only with a loss of sensitivity but also with a loss of clarity that is not captured by the audiogram. A detailed characterization of a hearing loss may be complex and needs to be simplified to efficiently explore the specific compensation needs of the individual listener. Here, it is hypothesized that any listener\u2019s hearing profile can be characterized along two dimensions of distortion: Type I and Type II. While Type I can be linked to factors affecting audibility, Type II reflects non-audibility-related distortions. To test this hypothesis, the individual performance data from two previous studies were reanalyzed using an unsupervised-learning technique to identify extreme patterns in the data, thus forming the basis for different auditory profiles. Next, a decision tree was determined to classify the listeners into one of the profiles. The analysis provides evidence for the existence of four profiles in the data. The most significant predictors for profile identification were related to binaural processing, auditory nonlinearity, and speech-in-noise perception. This approach could be valuable for analyzing other data sets to select the most relevant tests for auditory profiling and propose more efficient hearing-deficit compensation strategies.<\/div>

Close<\/a><\/p><\/div>

Sanchez-Lopez, Raul; Bianchi, Federica; Fereczkowski, Michal; Piechowiak, Tobias; Hau, Ole; Pedersen, Michael Syskind; Behrens, Thomas; Neher, Tobias; Dau, Torsten; Santurette, S\u00e9bastien<\/p>

Technical evaluation of hearing-aid fitting parameters for different auditory profiles<\/a> Conference<\/span> <\/p>

In Proceedings of Euronoise 2018, Crete, Greece, 27-31 May 2018, pp. 381-388, <\/span>2018<\/span>, ISSN: 2226-5147<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@conference{euronoise2018,
\r\ntitle = {Technical evaluation of hearing-aid fitting parameters for different auditory profiles},
\r\nauthor = {Raul Sanchez-Lopez and Federica Bianchi and Michal Fereczkowski and Tobias Piechowiak and Ole Hau and Michael Syskind Pedersen and Thomas Behrens and Tobias Neher and Torsten Dau and S\u00e9bastien Santurette},
\r\nurl = {http:\/\/www.euronoise2018.eu\/component\/contentbuilder\/details\/10\/83\/euronoise-2018-technical-evaluation-of-hearing-aid-fitting-parameters-for-different-auditory-profiles?Itemid=259},
\r\nissn = { 2226-5147},
\r\nyear = {2018},
\r\ndate = {2018-05-30},
\r\nbooktitle = {In Proceedings of Euronoise 2018, Crete, Greece, 27-31 May 2018, pp. 381-388},
\r\nabstract = {Hearing-aid users have reported an increased satisfaction since digital technology and advanced signal processing became available in hearing aids. However, many users still experience difficulties in noisy environments and in complex listening scenarios. Although numerous parameters can be adjusted to provide an individualized hearing solution, hearing-aid fitting currently consists of: 1) the gain prescription and adjustment based on the pure-tone audiogram, 2) the activation of advanced features on-demand, such as beamforming and noise reduction. In a previous study [1], a novel approach for auditory profiling was suggested, where the hearing deficits were characterized according to two types of distortion. This allowed the classification of listeners into four auditory profiles according to a high\/low degree of hearing distortions along the two dimensions. The aim of the present study was to evaluate different hearing-aid compensation strategies that may fit the needs of different auditory profiles via technical measures. A hearing-aid simulator, consisting of beamforming, noise reduction, and dynamic range compression, was used to test which parameter spaces and outcome measures may be of interest for a \u201cprofile-based hearing-aid fitting\u201d. The simulator consists of two dummy behind-the-ear hearing aids and off-line sound processing performed on a personal computer. Technical measures, such as signal-to-noise ratio (SNR) improvement, envelope degradation, and a metric of spectral distortions, were used to evaluate the effects of different signal processing strategies on the signal at the output of the simulator. Several parameter settings were evaluated using speech in the presence of various interferers at different SNRs. Here, the results of this technical evaluation are presented and discussed, with a view towards identifying the effective compensation strategies for different auditory profiles.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {conference}
\r\n}
\r\n<\/div>

Close<\/a><\/p><\/div>

Hearing-aid users have reported an increased satisfaction since digital technology and advanced signal processing became available in hearing aids. However, many users still experience difficulties in noisy environments and in complex listening scenarios. Although numerous parameters can be adjusted to provide an individualized hearing solution, hearing-aid fitting currently consists of: 1) the gain prescription and adjustment based on the pure-tone audiogram, 2) the activation of advanced features on-demand, such as beamforming and noise reduction. In a previous study [1], a novel approach for auditory profiling was suggested, where the hearing deficits were characterized according to two types of distortion. This allowed the classification of listeners into four auditory profiles according to a high\/low degree of hearing distortions along the two dimensions. The aim of the present study was to evaluate different hearing-aid compensation strategies that may fit the needs of different auditory profiles via technical measures. A hearing-aid simulator, consisting of beamforming, noise reduction, and dynamic range compression, was used to test which parameter spaces and outcome measures may be of interest for a \u201cprofile-based hearing-aid fitting\u201d. The simulator consists of two dummy behind-the-ear hearing aids and off-line sound processing performed on a personal computer. Technical measures, such as signal-to-noise ratio (SNR) improvement, envelope degradation, and a metric of spectral distortions, were used to evaluate the effects of different signal processing strategies on the signal at the output of the simulator. Several parameter settings were evaluated using speech in the presence of various interferers at different SNRs. Here, the results of this technical evaluation are presented and discussed, with a view towards identifying the effective compensation strategies for different auditory profiles.<\/div>

Close<\/a><\/p><\/div>

\r\n

2017<\/h3>\r\n <\/td>\r\n <\/tr>

van Hauen, Sigurd M\u00f8ller; Rukj\u00e6r, Andreas Harbo; Ordo\u00f1ez, Rodrigo; Hammersh\u00f8i, Dorte<\/p>

Estimating auditory filter bandwidth using distortion product otoacoustic emissions<\/a> Inproceedings<\/span> <\/p>

Santurette, S\u00e9bastien; Dau, Torsten; Christensen-Dalsgaard, Jakob; Tranebj\u00e6rg, Lisbeth; Poulsen, Torben (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research: Vol. 6: Adaptive Processes in Hearing, <\/span>pp. 263-270, <\/span>The Danavox Jubilee Foundation <\/span>2017<\/span>, ISBN: 978-87-990013-6-1<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@inproceedings{SigurdISAAR2017,
\r\ntitle = {Estimating auditory filter bandwidth using distortion product otoacoustic emissions},
\r\nauthor = {Sigurd M\u00f8ller van Hauen and Andreas Harbo Rukj\u00e6r and Rodrigo Ordo\u00f1ez and Dorte Hammersh\u00f8i},
\r\neditor = {S\u00e9bastien Santurette and Torsten Dau and Jakob Christensen-Dalsgaard and Lisbeth Tranebj\u00e6rg and Torben Poulsen},
\r\nurl = {https:\/\/proceedings.isaar.eu\/index.php\/isaarproc\/article\/view\/2017-32},
\r\nisbn = {978-87-990013-6-1},
\r\nyear = {2017},
\r\ndate = {2017-08-23},
\r\nbooktitle = {Proceedings of the International Symposium on Auditory and Audiological Research: Vol. 6: Adaptive Processes in Hearing},
\r\npages = {263-270},
\r\norganization = {The Danavox Jubilee Foundation},
\r\nabstract = {The basic frequency selectivity in the listener\u2019s hearing is often characterized by auditory filters. These filters are determined through listening tests, which estimate the masking threshold as a function of frequency of the tone and the bandwidth of the masking sound. The auditory filters have been shown to be wider for listeners with sensorineural impairment. In a recent study (Christensen et al., 2017) it was demonstrated on group basis that the distortion product stimulus ratio that provided the strongest 2 f1\u2212 f2 component at low frequencies had a strong correlation to the theoretical relation between frequency and auditory filter bandwidth, described by the equivalent rectangular bandwidth (ERB, Glasberg and Moore, 1990). The purpose of the present study is to test whether a similar correlation exists on an individual basis at normal audiometric frequencies. The optimal 2 f1 \u2212 f2 DPOAE ratio is determined for stimulus ratios between 1.1 and 1.6, at fixed primary levels (L1\/L2 = 65\/45 dB SPL). The auditory filters are determined using notched-noise method in a two alternative forced choice experiment with noise levels at 40 dB SPL\/Hz. Optimal ratios and auditory filters are determined at 1, 2, and 4 kHz for 10 young normal-hearing subjects.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
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Lopez, Raul Sanchez; Bianchi, Federica; Fereczkowski, Michal; Santurette, S\u00e9bastien; Dau, Torsten<\/p>

Data-driven approach for auditory profiling<\/a> Inproceedings<\/span> <\/p>

Santurette, S\u00e9bastien; Dau, Torsten; Christensen-Dalsgaard, Jakob; Tranebj\u00e6rg, Lisbeth; Poulsen, Torben (Ed.): Proceedings of the International Symposium on Auditory and Audiological Research: Vol. 6: Adaptive Processes in Hearing, <\/span>pp. 247-254, <\/span>The Danavox Jubilee Foundation, <\/span>2017<\/span>, ISBN: 978-87-990013-6-1<\/span>.<\/p>

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@inproceedings{820875598dff4bf4b7060bb84277a3b8,
\r\ntitle = {Data-driven approach for auditory profiling},
\r\nauthor = {Raul Sanchez Lopez and Federica Bianchi and Michal Fereczkowski and S\u00e9bastien Santurette and Torsten Dau},
\r\neditor = {S\u00e9bastien Santurette and Torsten Dau and Jakob Christensen-Dalsgaard and Lisbeth Tranebj\u00e6rg and Torben Poulsen},
\r\nurl = {http:\/\/orbit.dtu.dk\/files\/140683531\/ISAAR17_rsalo.pdf},
\r\nisbn = {978-87-990013-6-1},
\r\nyear = {2017},
\r\ndate = {2017-01-01},
\r\nbooktitle = {Proceedings of the International Symposium on Auditory and Audiological Research: Vol. 6: Adaptive Processes in Hearing},
\r\npages = {247-254},
\r\npublisher = {The Danavox Jubilee Foundation},
\r\nabstract = {Nowadays, the pure-tone audiogram is the main tool used to characterizehearing loss and to fit hearing aids. However, the perceptual consequencesof hearing loss are typically not only associated with a loss of sensitivity, butalso with a clarity loss that is not captured by the audiogram. A detailedcharacterization of hearing loss has to be simplified to efficiently explore thespecific compensation needs of the individual listener. We hypothesized thatany listener\u2019s hearing can be characterized along two dimensions of distortion:type I and type II. While type I can be linked to factors affecting audibility,type II reflects non-audibility-related distortions. To test our hypothesis,the individual performance data from two previous studies were re-analyzedusing an archetypal analysis. Unsupervised learning was used to identifyextreme patterns in the data which form the basis for different auditoryprofiles. Next, a decision tree was determined to classify the listeners intoone of the profiles. The new analysis provides evidence for the existenceof four profiles in the data. The most significant predictors for profileidentification were related to binaural processing, auditory non-linearity andspeech-in-noise perception. The current approach is promising for analyzingother existing data sets in order to select the most relevant tests for auditoryprofiling.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
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Nowadays, the pure-tone audiogram is the main tool used to characterizehearing loss and to fit hearing aids. However, the perceptual consequencesof hearing loss are typically not only associated with a loss of sensitivity, butalso with a clarity loss that is not captured by the audiogram. A detailedcharacterization of hearing loss has to be simplified to efficiently explore thespecific compensation needs of the individual listener. We hypothesized thatany listener\u2019s hearing can be characterized along two dimensions of distortion:type I and type II. While type I can be linked to factors affecting audibility,type II reflects non-audibility-related distortions. To test our hypothesis,the individual performance data from two previous studies were re-analyzedusing an archetypal analysis. Unsupervised learning was used to identifyextreme patterns in the data which form the basis for different auditoryprofiles. Next, a decision tree was determined to classify the listeners intoone of the profiles. The new analysis provides evidence for the existenceof four profiles in the data. The most significant predictors for profileidentification were related to binaural processing, auditory non-linearity andspeech-in-noise perception. The current approach is promising for analyzingother existing data sets in order to select the most relevant tests for auditoryprofiling.<\/div>

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