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

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Bibliography

(1) - RABINER (L.), HUANG (B.H.) - Fundamentals of speech recognition. – - Prentice-Hall, Englewood Cliffs (1993).
(2) - JUNQUA (J.-C.), HATON (J.-P.) - Robustness in automatic speech recognition. – - Kluwer Academic, Dordrecht...

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...