Noise Reduction in Speech Applications
Gillian M. Davis
CRC Press, Apr 18, 2002 - Technology & Engineering - 432 pages
Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical.
Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with a tutorial-style chapter of background material, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of applications and demonstrates to potential users of the technology the results possible with the noise reduction techniques presented.
The book offers chapters contributed by international experts, a practical, systems approach, and numerous references. For electrical, acoustics, signal processing, communications, and bioengineers, Noise Reduction in Speech Applications is a valuable resource that shows you how to decide whether noise reduction will solve problems in your own systems and how to make the best use of the technologies available.
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Digital Algorithms and Implementation
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acoustic echo cancellation active noise control adaptive filter algorithm amplifier analog applications approach architecture array attenuation audio beamforming binaural cepstral circuit clean speech codecs coefficients components computed delay digital filter distortion distribution domain echo canceller effects EMAP environment Equation error estimate example feature vectors feedback control feedforward Fourier transform frequency function FXLMS headset hearing aid hidden Markov model IEEE Trans implementation impulse response input interrupt ITU-T jitter linear listeners loudspeaker matrix mean memory methods microphone multiple noise cancellation noise reduction noisy speech nonlinear operation optimization output packet loss parameters perceptual performance problem Proc processor PSTN quantization real-time reference signal robust RTOS sample shown in Figure Signal Processing spectral subtraction spectrogram spectrum speech enhancement speech recognition speech signal superscalar talker task techniques tion typical voice signal VoIP Wiener filter