Acoustic interfering noise signals dramatically degrade the
performance of many speech applications, such as automatic speech
recognition system and speech communication system, in practical
environments. For example, for automatic speech recognition system,
noises result in the mismatch between the training and testing
conditions, further degrading the performance of recognition system
in real-world conditions. For speech communication system, acoustic
noises degrade the quality and intelligibility of received speech
signals. Therefore, noise reduction has been a fundamental enabling
technology and an indispensable component for these applications
that must recognize or transmit speech in noisy environments. The
book describes the theory, implementation and applications of
multi-channel noise reduction for robust hands-free speech
recognition. Problems are discussed in regards to different
state-of-the-art multi-channel noise reduction systems.
Accordingly, one promising multi-channel noise reduction system
based on microphone array and post-filtering is introduced from
theory, through implementation, to application to robust speech
recognition.
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