1. Characteristics of spoken man-machine communication

Automatic speech processing covers a vast range of often complementary activities, which can be classified into five main themes:

speech coding and compression, involved in speech transmission and reproduction;
speech synthesis, consisting in producing a speech signal from a dictionary of phonetic elements and/or rules ;
speech recognition, in which a machine interprets words or phrases spoken by a human speaker in order to perform a specific action;
speaker recognition and verification, a dual problem of the previous one in which we seek to authenticate a person by his voice;
identification of the language in which a speaker expresses himself.

Significant progress has been...

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Characteristics of spoken man-machine communication

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page Automatic speech recognition

Fields of automatic speech recognition

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...