Techniques for Noise Robustness in Automatic Speech Recognition (Hardcover)

Tuomas Virtanen, Rita Singh, Bhiksha Raj

  • 出版商: Wiley
  • 出版日期: 2012-11-28
  • 售價: $4,290
  • 貴賓價: 9.5$4,076
  • 語言: 英文
  • 頁數: 514
  • 裝訂: Hardcover
  • ISBN: 1119970881
  • ISBN-13: 9781119970880
  • 相關分類: 語音辨識 Speech-recognition
  • 立即出貨 (庫存 < 3)



Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems.  As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences.

Key features:

  • Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech.
  • Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments.
  • Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR.
  • Includes contributions from top ASR researchers from leading research units in the field