Speech enhancement in the STFT domain
This work addresses this problem in the short-time Fourier transform (STFT) domain. We divide the general problem into five basic categories depending on the number of microphones being used and whether the interframe or interband correlation is considered. The first category deals with the single-c...
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| Autors principals: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2012.
Cham : Springer Nature |
| Col·lecció: | SpringerBriefs in Electrical and Computer Engineering
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| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Speech Enhancement in the STFT Domain, Texte imprimé, 9783642232497 • Speech Enhancement in the STFT Domain, Texte imprimé, 9783642232510 |
| LEADER | 04001nam a22003617a 4500 | ||
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| 001 | 950303 | ||
| 008 | 160120s2012 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN190843047 | ||
| 020 | |a 9783642232503 (en ligne) | ||
| 041 | 0 | |a eng | |
| 082 | |a 621.382 | ||
| 100 | 1 | |a Benesty, Jacob, |d 19..- | |
| 245 | 1 | 0 | |a Speech enhancement in the STFT domain |c Jacob Benesty, Jingdong Chen, Emanuël A.P. Habets. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2012. | ||
| 490 | 0 | |a SpringerBriefs in Electrical and Computer Engineering |x 2191-8120 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Introduction -- Single-Channel Speech Enhancement with a Gain -- Single-Channel Speech Enhancement with a Filter -- Multichannel Speech Enhancement with Gains -- Multichannel Speech Enhancement with Filters -- The Bifrequency Spectrum in Speech Enhancement -- Summary and Perspectives. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This work addresses this problem in the short-time Fourier transform (STFT) domain. We divide the general problem into five basic categories depending on the number of microphones being used and whether the interframe or interband correlation is considered. The first category deals with the single-channel problem where STFT coefficients at different frames and frequency bands are assumed to be independent. In this case, the noise reduction filter in each frequency band is basically a real gain. Since a gain does not improve the signal-to-noise ratio (SNR) for any given subband and frame, the noise reduction is basically achieved by liftering the subbands and frames that are less noisy while weighing down on those that are more noisy. The second category also concerns the single-channel problem. The difference is that now the interframe correlation is taken into account and a filter is applied in each subband instead of just a gain. The advantage of using the interframe correlation is that we can improve not only the long-time fullband SNR, but the frame-wise subband SNR as well. The third and fourth classes discuss the problem of multichannel noise reduction in the STFT domain with and without interframe correlation, respectively. In the last category, we consider the interband correlation in the design of the noise reduction filters. We illustrate the basic principle for the single-channel case as an example, while this concept can be generalized to other scenarios. In all categories, we propose different optimization cost functions from which we derive the optimal filters and we also define the performance measures that help analyzing them. | ||
| 650 | |a Traitement automatique de la parole | ||
| 700 | 1 | |a Chen, Jingdong. |4 aut | |
| 700 | 1 | |a Habets, Emanuël A.P. |4 aut | |
| 776 | 0 | |t Speech Enhancement in the STFT Domain |b Texte imprimé |z 9783642232497 | |
| 776 | 0 | |t Speech Enhancement in the STFT Domain |b Texte imprimé |z 9783642232510 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-23250-3 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-MTVD0BJ6-Z |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748143092 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-23250-3 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751598224 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-23250-3 |z Accès INSA CVL | |
| 997 | |0 950303 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||