| Paper: | SP-P5.1 | ||
| Session: | Topics in Speech Coding | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Narrowband Speech Coding | ||
| Title: | NOISE-DEPENDENT POSTFILTERING | ||
| Authors: | Volodya Grancharov; Royal Institute of Technology (KTH) | ||
| Jonas Samuelsson; Royal Institute of Technology (KTH) | |||
| W. Bastiaan Kleijn; Royal Institute of Technology (KTH) | |||
| Abstract: | This paper introduces a modification of the commonlyused postfilter that improves performance when acoustic background noise is present. The modification consists of replacing the nonadaptive postfilter parameters that govern the degree of spectral emphasis (commonly denoted as $\gamma_{1}$ and $\gamma_{2}$) with parameters that adapt to the noise statistics. We describe an effective mapping from the noise statistics to the emphasis parameters and provide a low complexity noise estimation algorithm that is sufficient for this application. The resulting noise-adaptive postfilter successfully attenuates the background noise and naturally converges to the conventional postfilter at high SNR conditions. Thus, the speech enhancement problem is solved with minimal modification of legacy codecs, since the existing structure of the speech codec is used. Test results indicate that the presented algorithm significantly outperformsthe standard postfilter with non-adaptive parameters. | ||
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