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...

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!

The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors

+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year

From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Traceability

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Characteristics of spoken man-machine communication

Previous
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...