Speech Enhancement in the STFT Domain. 1st ed. 2012
- 種類:
- 電子ブック
- 責任表示:
- by Jacob Benesty, Jingdong Chen, Emanuël A.P. Habets
- 出版情報:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012
- 著者名:
- シリーズ名:
- SpringerBriefs in Electrical and Computer Engineering ;
- ISBN:
- 9783642232503 [3642232507]
- 注記:
- 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.
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 o - ローカル注記:
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