4. Word recognition
4.1 General principle
As already mentioned, the absence of phoneme and word boundary indicators in the speech signal is a major difficulty in speech recognition. As a result, the recognition of artificially pronounced words in isolation represents a significant simplification of the problem. Word recognition is then a typical pattern recognition problem. Any pattern recognition system comprises the following three parts:
a sensor (in our case, a microphone) for recording the physical phenomenon in question;
a shape parameterization stage (e.g. a spectral analyzer);
a decision stage responsible for classifying an unknown shape into one of the possible categories....
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Word recognition
Recognition and understanding of continuous speech
Bibliography
Software tools
HTK (HMM ToolKit): open-source software for the development of complete speech recognition applications based on MMC http://www.htk.eng.cam.ac.uk/
VISPER (Visual speech processing system): free software for visualizing dynamic programming and MMC recognition stages, developed by the Technical University of Liberec, Czech...
Directory
Manufacturers – Suppliers – Distributors (non-exhaustive list)
Companies specializing in automatic speech processing:
Vecsys http://www.vecsys.fr/presentation/index.htm
Loquendo http://www.loquendo.com/fr/
...Documentation
Speech Communication magazine (4 issues/year)
IEEE Transactions on Pattern Recognition and Machine Intelligence (6 issues/year)
International Journal of Pattern Recognition and Artificial Intelligence (4 issues/year)
Journal of the Acoustical Society of America (12 issues/year)
Traitement du Signal magazine (4 issues/year)...
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