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Robust Automatic Speech Recognition
book

Robust Automatic Speech Recognition

by Jinyu Li, Li Deng, Reinhold Haeb-Umbach, Yifan Gong
October 2015
Intermediate to advanced
306 pages
10h 38m
English
Academic Press
Content preview from Robust Automatic Speech Recognition
Chapter 10

Multi-channel processing

Abstract

Almost all noise-robust ASR techniques discussed so far in the book have assumed the use of a single microphone device that captures distorted speech signals. We devote this chapter to the techniques developed with multiple devices. Due to the availability of cheap hardware, an increasing portion of devices features multiple sound capturing channels. This adds the spatial dimension to the otherwise only spectro-temporal processing of single-microphone systems. If the target speech and the interferers are spatially separated, beamforming and other multi-channel processing can greatly improve the target signal-to-noise ratio. It is particularly advantageous in the presence of nonstationary interferers ...

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Publisher Resources

ISBN: 9780128026168