Robust Speech Recognition of Uncertain or Missing Data

Released on by Dorothea Kolossa
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  • Robust Speech Recognition of Uncertain or Missing Data Book Detail

  • Author : Dorothea Kolossa
  • Release Date : 2011-07-14
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Pages : 387
  • ISBN 13 : 3642213170
  • File Size : 53,53 MB
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Robust Speech Recognition of Uncertain or Missing Data by Dorothea Kolossa PDF Summary

Book Description: Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but also an estimate of its reliability to selectively focus on those segments and features that are most reliable for recognition. This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech signals, and audiovisual speech recognition. The book is appropriate for scientists and researchers in the field of speech recognition who will find an overview of the state of the art in robust speech recognition, professionals working in speech recognition who will find strategies for improving recognition results in various conditions of mismatch, and lecturers of advanced courses on speech processing or speech recognition who will find a reference and a comprehensive introduction to the field. The book assumes an understanding of the fundamentals of speech recognition using Hidden Markov Models.

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Robust Automatic Speech Recognition

Robust Automatic Speech Recognition

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Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against a