{"id":2229,"date":"2018-05-31T14:28:50","date_gmt":"2018-05-31T14:28:50","guid":{"rendered":"http:\/\/bear-hearing.dk\/?page_id=2229"},"modified":"2018-05-31T14:28:50","modified_gmt":"2018-05-31T14:28:50","slug":"olehau","status":"publish","type":"page","link":"https:\/\/bear-hearing.dk\/da\/whoweare\/olehau\/","title":{"rendered":"Ole Hau \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>
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\n\t\"Ole\n<\/div>\n\n<\/div><\/div><\/div>
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Ole Hau<\/b><\/a><\/div>\r\nForskningsingeni\u00f8r\r\nWSAudiology<\/h4>\n<\/div>\n<\/div><\/div><\/div><\/div>

Ole Hau<\/h3>\n
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Ole Hau er en digital signalbehandlings specialist og har en M.Sc.EE. Han har arbejdet med lydkvalitetsoptimering hos Bang & Olufsen og som uafh\u00e6ngig digital signalbehandling og embedded softwarekonsulent, inden han kom til Widex i 2005. Han arbejder for tiden som audiologisk forskningsingeni\u00f8r i Widex audiologiske afdeling og har en bred forst\u00e5else af alt i forbindelse med h\u00f8reapparater. Hans forskning, arbejde og interesser omfatter generel audiologi, psykoakustik, modeller af det auditive system, h\u00f8retabs kompensation, akustik, kompression og st\u00f8jreduktionsalgoritmer.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

Arbejdsomr\u00e5de<\/h3>\n
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Ole Hau bidrager med sin erfaring indenfor digital signal behandling til h\u00f8reapparat teknologier, samt psykoakustiske metoder og lydkvalitet.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

Ressourcer<\/h3>\n
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Publikationer<\/h4>\n
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2018<\/h3>\r\n <\/td>\r\n <\/tr>

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>

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