Speech Recognition: Theory and C++ Implementation

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Automatic Speech Recognition (ASR) is the enabling technology for hands-free dictation and voice-triggered computer menus. It is becoming increasingly prevalent in environments such as private telephone exchanges and real-time information services. Speech Recognition introduces the principles of ASR systems, including the theory and implementation issues behind multi-speaker continuous speech recognition. Focusing on the algorithms employed in commercial and laboratory systems, the treatment enables the reader to devise practical solutions for ASR system problems. It addresses in detail C++ programming techniques used to develop ASR applications, thus offering skills that will prove useful in any large C++ based software project. Possible extensions of the well-established ASR technology are highlighted, based on “Hidden Markov Models” applied to fields such as modelling and prediction of econometric series. Features include:

 

  • Accompanying website containing all C++ source code of a complete laboratory multi-speaker continuous-speech ASR system (e.g. Initialisation, Training, Recognition, Evaluation, etc.) www.wiley.com/go/becchetti_speech
  • Detailed theoretical, mathematical and technical explanations of ASR
  • A practical account of the functioning of ASR
  • A crucial source of information for researchers, developers and project managers involved with ASR systems, Speech Recognition is also structured for use by students of digital signal processing, speech recognition and C++ programming techniques.

Editorial Reviews

Review

The whole software code of the Automatic Speech Recognition system  (30,000 lines in total) is offered under open source licence (Creative Commons Attribution 3.0 Unported License.) and can be downloaded at Editor’s website: wiley.com//legacy/wileychi/becchetti_speech/supp/becchetti.zip.

“Speech Recognition introduces the principles of ASR systems, including the theory and implementation issues behind multi-speaker continuous speech recognition…” (IEE Signal Processing Magazine, Vol. 18, No.1, January 2001)

From the Back Cover

Automatic Speech Recognition (ASR) is the enabling technology for hands-free dictation and voice-triggered computer menus. It is becoming increasingly prevalent in environments such as private telephone exchanges and real-time information services. Speech Recognition introduces the principles of ASR systems, including the theory and implementation issues behind multi-speaker continuous speech recognition. Focusing on the algorithms employed in commercial and laboratory systems, the treatment enables the reader to devise practical solutions for ASR system problems. It addresses in detail C++ programming techniques used to develop ASR applications, thus offering skills that will prove useful in any large C++ based software project. Possible extensions of the well-established ASR technology are highlighted, based on “Hidden Markov Models” applied to fields such as modelling and prediction of econometric series. Features include:

  • Accompanying CD-ROM containing all C++ source code of a complete laboratory multi-speaker continuous-speech ASR system (e.g. Initialisation, Training, Recognition, Evaluation, etc.)
  • Detailed theoretical, mathematical and technical explanations of ASR
  • A practical account of the functioning of ASR

A crucial source of information for researchers, developers and project managers involved with ASR systems, Speech Recognition is also structured for use by students of digital signal processing, speech recognition and C++ programming techniques.

Most Helpful Customer Reviews
25 of 25 people found the following review helpful
4.0 out of 5 stars Useful application-oriented book. August 20, 1999
By A Customer
Format:Hardcover
This book is very useful for persons willing to implement a speech recognition system based on hidden Markov models (HMM). The authors provide the source code of a complete system. Each chapter is divided in two parts: theory and implementation. Some implementation issues are of interest only for those who develop code in C. I think this implementation-oriented book is a good complement for a theory-oriented book, as “Fundamentals of Speech Recog.” by Rabiner and Juang. I really couldn’t understand an appendix about “Econometric”, that mainly discusses HREH (?) and just mentions HMM in the very end. The references related to this appendix were mixed with the ones related to speech, with an annoying result.

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