Noise is everywhere and in most applications that are related to
audio and speech, such as human-machine interfaces, hands-free
communications, voice over IP (VoIP), hearing aids,
teleconferencing/telepresence/telecollaboration systems, and so
many others, the signal of interest (usually speech) that is picked
up by a microphone is generally contaminated by noise. As a result,
the microphone signal has to be cleaned up with digital signal
processing tools before it is stored, analyzed, transmitted, or
played out. This cleaning process is often called noise reduction
and this topic has attracted a considerable amount of research and
engineering attention for several decades. One of the objectives of
this book is to present in a common framework an overview of the
state of the art of noise reduction algorithms in the
single-channel (one microphone) case. The focus is on the most
useful approaches, i.e., filtering techniques (in different
domains) and spectral enhancement methods. The other objective of
Noise Reduction in Speech Processing is to derive all these
well-known techniques in a rigorous way and prove many fundamental
and intuitive results often taken for granted. This book is
especially written for graduate students and research engineers who
work on noise reduction for speech and audio applications and want
to understand the subtle mechanisms behind each approach. Many new
and interesting concepts are presented in this text that we hope
the readers will find useful and inspiring.
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