A Perspective on Single-Channel Frequency-Domain Speech Enhancement (Record no. 85873)

000 -LEADER
fixed length control field 04422nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-031-02561-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164735.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2011 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031025617
-- 978-3-031-02561-7
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
100 1# - AUTHOR NAME
Author Benesty, Jacob.
245 12 - TITLE STATEMENT
Title A Perspective on Single-Channel Frequency-Domain Speech Enhancement
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2011.
300 ## - PHYSICAL DESCRIPTION
Number of Pages VIII, 101 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Speech and Audio Processing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Problem Formulation -- Performance Measures -- Linear and Widely Linear Models -- Optimal Filters with Model 1 -- Optimal Filters with Model 2 -- Optimal Filters with Model 3 -- Optimal Filters with Model 4 -- Experimental Study.
520 ## - SUMMARY, ETC.
Summary, etc This book focuses on a class of single-channel noise reduction methods that are performed in the frequency domain via the short-time Fourier transform (STFT). The simplicity and relative effectiveness of this class of approaches make them the dominant choice in practical systems. Even though many popular algorithms have been proposed through more than four decades of continuous research, there are a number of critical areas where our understanding and capabilities still remain quite rudimentary, especially with respect to the relationship between noise reduction and speech distortion. All existing frequency-domain algorithms, no matter how they are developed, have one feature in common: the solution is eventually expressed as a gain function applied to the STFT of the noisy signal only in the current frame. As a result, the narrowband signal-to-noise ratio (SNR) cannot be improved, and any gains achieved in noise reduction on the fullband basis come with a price to pay, which is speechdistortion. In this book, we present a new perspective on the problem by exploiting the difference between speech and typical noise in circularity and interframe self-correlation, which were ignored in the past. By gathering the STFT of the microphone signal of the current frame, its complex conjugate, and the STFTs in the previous frames, we construct several new, multiple-observation signal models similar to a microphone array system: there are multiple noisy speech observations, and their speech components are correlated but not completely coherent while their noise components are presumably uncorrelated. Therefore, the multichannel Wiener filter and the minimum variance distortionless response (MVDR) filter that were usually associated with microphone arrays will be developed for single-channel noise reduction in this book. This might instigate a paradigm shift geared toward speech distortionless noise reduction techniques. Table of Contents: Introduction / Problem Formulation / Performance Measures / Linear and Widely Linear Models / Optimal Filters with Model 1 / Optimal Filters with Model 2 / Optimal Filters with Model 3 / Optimal Filters with Model 4 / Experimental Study.
700 1# - AUTHOR 2
Author 2 Huang, Yiteng.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02561-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2011.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Acoustical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Acoustics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1932-1678
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-- ZDB-2-SXSC

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