Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김인영 | - |
dc.date.accessioned | 2018-03-23T06:32:00Z | - |
dc.date.available | 2018-03-23T06:32:00Z | - |
dc.date.issued | 2012-12 | - |
dc.identifier.citation | Biomedical Engineering Letters (BMEL), 2012, 2(4), P.255-264, 10P. | en_US |
dc.identifier.issn | 2093-9868 | - |
dc.identifier.issn | 2093-985X | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs13534-012-0078-3 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/51399 | - |
dc.description.abstract | Purpose Voice activity detection (VAD) is significantly associated with the performance of single microphone noise reduction algorithms. In this study, the cause and extent of the VAD effect on noise reduction performance were analyzed by comparing conventional VAD algorithms with ideal VAD. Methods A Wiener filter and logMMSE estimator employing various VAD algorithms were implemented using Simulink models and simulated with various 30-second speeches mixed with different noises at -5, 0 and 5 dB SNR. In addition, a noise estimation method not using VAD was also compared to facilitate a more extensive evaluation. The VAD and noise estimation accuracy were analyzed and objective speech quality measures such as fwSNR, PESQ and LLR were calculated. Results Statistical analysis showed that the noise reduction performance using ideal VAD was significantly better than using conventional methods, the performance of which is dependent on noise types and SNR conditions. Conclusions Consequently, there is still much room to improve VAD algorithms to have a high non-speech hit rate and low non-speech false alarm rate for better noise reduction performance in all noisy circumstances. | en_US |
dc.description.sponsorship | This work was supported by grant No.10031764 from the Strategic Technology Development Program of the Ministry of Knowledge Economy and grant No. SS100022 from Seoul R&BD Program. | en_US |
dc.language.iso | en | en_US |
dc.publisher | 대한의용생체공학회 | en_US |
dc.subject | Voice activity detection | en_US |
dc.subject | Single microphone noise reduction | en_US |
dc.subject | Speech quality | en_US |
dc.subject | Digital hearing aids | en_US |
dc.title | Comparative evaluation of voice activity detectors in single microphone noise reduction algorithms | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | 2 | - |
dc.identifier.doi | 10.1007/s13534-012-0078-3 | - |
dc.relation.page | 255-264 | - |
dc.relation.journal | Biomedical Engineering Letters | - |
dc.contributor.googleauthor | Han, Jonghee | - |
dc.contributor.googleauthor | Yook, Sunhyun | - |
dc.contributor.googleauthor | Nam, KyoungWon | - |
dc.contributor.googleauthor | Lee, Sangmin | - |
dc.contributor.googleauthor | Kim, Dongwook | - |
dc.contributor.googleauthor | Hong, SungHwa | - |
dc.contributor.googleauthor | Jang, DongPyo | - |
dc.contributor.googleauthor | Kim, InYoung | - |
dc.relation.code | 2012285464 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF MEDICINE[S] | - |
dc.sector.department | DEPARTMENT OF MEDICINE | - |
dc.identifier.pid | iykim | - |
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