Fundamentals Of Speech Enhancement (springerbriefs In Electrical And Computer Engineering)
by Jacob Benesty /
2018 / English / PDF
1 MB Download
This book presents and develops several important concepts of
speech enhancement in a simple but rigorous way. Many of the
ideas are new; not only do they shed light on this old problem
but they also offer valuable tips on how to improve on some
well-known conventional approaches. The book unifies all aspects
of speech enhancement, from single channel, multichannel,
beamforming, time domain, frequency domain and time–frequency
domain, to binaural in a clear and flexible framework. It starts
with an exhaustive discussion on the fundamental best (linear and
nonlinear) estimators, showing how they are connected to various
important measures such as the coefficient of determination, the
correlation coefficient, the conditional correlation coefficient,
and the signal-to-noise ratio (SNR). It then goes on to show how
to exploit these measures in order to derive all kinds of noise
reduction algorithms that can offer an accurate and versatile
compromise between noise reduction and speech distortion.
This book presents and develops several important concepts of
speech enhancement in a simple but rigorous way. Many of the
ideas are new; not only do they shed light on this old problem
but they also offer valuable tips on how to improve on some
well-known conventional approaches. The book unifies all aspects
of speech enhancement, from single channel, multichannel,
beamforming, time domain, frequency domain and time–frequency
domain, to binaural in a clear and flexible framework. It starts
with an exhaustive discussion on the fundamental best (linear and
nonlinear) estimators, showing how they are connected to various
important measures such as the coefficient of determination, the
correlation coefficient, the conditional correlation coefficient,
and the signal-to-noise ratio (SNR). It then goes on to show how
to exploit these measures in order to derive all kinds of noise
reduction algorithms that can offer an accurate and versatile
compromise between noise reduction and speech distortion.
