Reliable a posteriori signal-to-noise ratio features selection
| Autor: | Pascal Scalart, Claude Marro, C. Plapous |
|---|---|
| Přispěvatelé: | Orange Labs [Lannion], France Télécom, Reconfigurable and Retargetable Digital Devices (R2D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-INRIA Rennes, Institut National de Recherche en Informatique et en Automatique (Inria)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-INRIA Rennes |
| Rok vydání: | 2006 |
| Předmět: |
Engineering
Noise measurement business.industry Speech recognition 020207 software engineering 02 engineering and technology Speech enhancement Gradient noise Background noise 030507 speech-language pathology & audiology 03 medical and health sciences Noise Signal-to-noise ratio [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Computer Science::Sound Colors of noise 0202 electrical engineering electronic engineering information engineering Value noise 0305 other medical science business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Oct 2005, Mohonc Mountain House, New Paltz, New York, United States |
| DOI: | 10.1109/aspaa.2005.1540170 |
| Popis: | International audience; This paper adresses the problem of single microphone speech enhancement in noisy environments. State of the art short-time noise reduction techniques are most often expressed as a spectral gain depending on the Signal-to-Noise Ratio (SNR). The well-known decision-directed (DD) approcah drastically limits the level of musical noise but the estimated a priori SNR is biased since it depends on the speech spectrum estimated in the previous frame. The consequence of this biais is an annoying reverberation effect. We propose a new method, called Reliable Features Selection Noise Reduction (RFSNR) technique, that is able to classify the a posteriori SNR estimates into two categories: the reliable features leading to speech components and the unrealiable ones corresponding to musical noise only. Then it is possible to directly enhance speech using a posteriori SNR leading to an unbiased estimator. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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