| Paper: | SP-P1.7 | ||
| Session: | Speech Coding for Networks / Single-Channel Speech Enhancement | ||
| Time: | Tuesday, May 18, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Speech Enhancement | ||
| Title: | A TWO-STEP NOISE REDUCTION TECHNIQUE | ||
| Authors: | Cyril Plapous; France Télécom R&D - DIH/IPS | ||
| Claude Marro; France Télécom R&D - DIH/IPS | |||
| Laurent Mauuary; France Télécom R&D - DIH/IPS | |||
| Pascal Scalart; ENSSAT - LASTI | |||
| Abstract: | This paper adresses the problem of single microphone speech enhancement in noisy environments. Common short-time noise reduction techniques proposed in the art are expressed as a spectral gain depending on the a priori SNR. In the well-known decision-directed approach, the a priori SNR depends on the previous frame speech spectrum estimation. As a consequence the gain function matches the previous frame rather than the current one which degrades the noise reduction performance. We propose a new method called Two-Step Noise Reduction (TSNR) technique which solves this problem while maintaining the benefits of the decision-directed approach. This method is analysed and results in voice communication and speech recognition context are given. | ||
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