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A Perspective on Single-Channel Frequency-Domain Speech Enhancement (Paperback)
Loot Price: R1,076
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A Perspective on Single-Channel Frequency-Domain Speech Enhancement (Paperback)
Series: Synthesis Lectures on Speech and Audio Processing
Expected to ship within 10 - 15 working days
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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 speech distortion. 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
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