Multichannel Direction-Independent Speech Enhancement Using Spectral Amplitude Estimation
Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimato...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lotter, Thomas [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2003 |
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| Schlagwörter: |
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| Anmerkung: |
© © © 2003 Hindawi Publishing Corporation 2003 |
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| Übergeordnetes Werk: |
Enthalten in: EURASIP journal on advances in signal processing - Heidelberg : Springer, 2007, 2003(2003), 11 vom: 05. Okt. |
|---|---|
| Übergeordnetes Werk: |
volume:2003 ; year:2003 ; number:11 ; day:05 ; month:10 |
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| DOI / URN: |
10.1155/S1110865703305025 |
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| 520 | |a Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. | ||
| 650 | 4 | |a speech enhancement |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a microphone arrays |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a spectral amplitude estimation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Benien, Christian |4 aut | |
| 700 | 1 | |a Vary, Peter |4 aut | |
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10.1155/S1110865703305025 doi (DE-627)SPR031973515 (SPR)S1110865703305025-e DE-627 ger DE-627 rakwb eng Lotter, Thomas verfasserin aut Multichannel Direction-Independent Speech Enhancement Using Spectral Amplitude Estimation 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © © © 2003 Hindawi Publishing Corporation 2003 Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. speech enhancement (dpeaa)DE-He213 microphone arrays (dpeaa)DE-He213 spectral amplitude estimation (dpeaa)DE-He213 Benien, Christian aut Vary, Peter aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2003(2003), 11 vom: 05. Okt. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2003 year:2003 number:11 day:05 month:10 https://dx.doi.org/10.1155/S1110865703305025 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 AR 2003 2003 11 05 10 |
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10.1155/S1110865703305025 doi (DE-627)SPR031973515 (SPR)S1110865703305025-e DE-627 ger DE-627 rakwb eng Lotter, Thomas verfasserin aut Multichannel Direction-Independent Speech Enhancement Using Spectral Amplitude Estimation 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © © © 2003 Hindawi Publishing Corporation 2003 Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. speech enhancement (dpeaa)DE-He213 microphone arrays (dpeaa)DE-He213 spectral amplitude estimation (dpeaa)DE-He213 Benien, Christian aut Vary, Peter aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2003(2003), 11 vom: 05. Okt. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2003 year:2003 number:11 day:05 month:10 https://dx.doi.org/10.1155/S1110865703305025 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 AR 2003 2003 11 05 10 |
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10.1155/S1110865703305025 doi (DE-627)SPR031973515 (SPR)S1110865703305025-e DE-627 ger DE-627 rakwb eng Lotter, Thomas verfasserin aut Multichannel Direction-Independent Speech Enhancement Using Spectral Amplitude Estimation 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © © © 2003 Hindawi Publishing Corporation 2003 Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. speech enhancement (dpeaa)DE-He213 microphone arrays (dpeaa)DE-He213 spectral amplitude estimation (dpeaa)DE-He213 Benien, Christian aut Vary, Peter aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2003(2003), 11 vom: 05. Okt. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2003 year:2003 number:11 day:05 month:10 https://dx.doi.org/10.1155/S1110865703305025 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 AR 2003 2003 11 05 10 |
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10.1155/S1110865703305025 doi (DE-627)SPR031973515 (SPR)S1110865703305025-e DE-627 ger DE-627 rakwb eng Lotter, Thomas verfasserin aut Multichannel Direction-Independent Speech Enhancement Using Spectral Amplitude Estimation 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © © © 2003 Hindawi Publishing Corporation 2003 Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. speech enhancement (dpeaa)DE-He213 microphone arrays (dpeaa)DE-He213 spectral amplitude estimation (dpeaa)DE-He213 Benien, Christian aut Vary, Peter aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2003(2003), 11 vom: 05. Okt. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2003 year:2003 number:11 day:05 month:10 https://dx.doi.org/10.1155/S1110865703305025 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 AR 2003 2003 11 05 10 |
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10.1155/S1110865703305025 doi (DE-627)SPR031973515 (SPR)S1110865703305025-e DE-627 ger DE-627 rakwb eng Lotter, Thomas verfasserin aut Multichannel Direction-Independent Speech Enhancement Using Spectral Amplitude Estimation 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © © © 2003 Hindawi Publishing Corporation 2003 Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. speech enhancement (dpeaa)DE-He213 microphone arrays (dpeaa)DE-He213 spectral amplitude estimation (dpeaa)DE-He213 Benien, Christian aut Vary, Peter aut Enthalten in EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 2003(2003), 11 vom: 05. Okt. (DE-627)534054277 (DE-600)2364203-8 1687-6180 nnns volume:2003 year:2003 number:11 day:05 month:10 https://dx.doi.org/10.1155/S1110865703305025 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_161 GBV_ILN_170 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2522 AR 2003 2003 11 05 10 |
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Multichannel Direction-Independent Speech Enhancement Using Spectral Amplitude Estimation |
| abstract |
Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. © © © 2003 Hindawi Publishing Corporation 2003 |
| abstractGer |
Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. © © © 2003 Hindawi Publishing Corporation 2003 |
| abstract_unstemmed |
Abstract This paper introduces two short-time spectral amplitude estimators for speech enhancement with multiple microphones. Based on joint Gaussian models of speech and noise Fourier coefficients, the clean speech amplitudes are estimated with respect to the MMSE or the MAP criterion. The estimators outperform single microphone minimum mean square amplitude estimators when the speech components are highly correlated and the noise components are sufficiently uncorrelated. Whereas the first MMSE estimator also requires knowledge of the direction of arrival, the second MAP estimator performs a direction-independent noise reduction. The estimators are generalizations of the well-known single channel MMSE estimator derived by Ephraim and Malah (1984) and the MAP estimator derived by Wolfe and Godsill (2001), respectively. © © © 2003 Hindawi Publishing Corporation 2003 |
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11 |
| title_short |
Multichannel Direction-Independent Speech Enhancement Using Spectral Amplitude Estimation |
| url |
https://dx.doi.org/10.1155/S1110865703305025 |
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| author2 |
Benien, Christian Vary, Peter |
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10.1155/S1110865703305025 |
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