Logo - springer
Slogan - springer

Engineering - Signals & Communication | Speech Enhancement in the STFT Domain

Speech Enhancement in the STFT Domain

Benesty, Jacob, Chen, Jingdong, Habets, Emanuël A.P.

2012, VII, 109p. 5 illus..

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$39.95

(net) price for USA

ISBN 978-3-642-23250-3

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$49.95

(net) price for USA

ISBN 978-3-642-23249-7

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Addresses this problem in the the short-time Fourier transform.
  • Written for experts in this field.
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.

Content Level » Research

Keywords » Speech enhancement - Wiener filter - linearly constrained minimum variance (LCMV) filter - maximum signal-to-noise ratio (SNR) filter - microphone arrays - minimum variance distortionless response (MVDR) filter - prediction filter - short-time Fourier transform (STFT) domain - single-channel and multichannel - tradeoff filter

Related subjects » Analysis - Engineering - Information Systems and Applications - Signals & Communication

Table of contents / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Signal, Image and Speech Processing.