Speech Enhancement in the STFT Domain

Name: Speech Enhancement in the STFT Domain
SKU: 18287670
Price: 151.00 NZD
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Paperback / softback

Series:

Springerbriefs in Electrical and Computer Engineering

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Description

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 only the long-time fullband SNR, but the frame-wise subband SNR as well. The third and fourth classes discuss the problem of multichannel noise reduction in the STFT domain with and without interframe correlation, respectively. In the last category, we consider the interband correlation in the design of the noise reduction filters. We illustrate the basic principle for the single-channel case as an example, while this concept can be generalized to other scenarios. In all categories, we propose different optimization cost functions from which we derive the optimal filters and we also define the performance measures that help analyzing them.

Release date NZ

September 16th, 2011

Author

Audience

Professional & Vocational

Illustrations

5 Illustrations, black and white; VII, 109 p. 5 illus.

Pages

109

Series

Springerbriefs in Electrical and Computer Engineering

Dimensions

156x234x6

ISBN-13

9783642232497

Product ID

18287670

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