2. Fields of automatic speech recognition

2.1 History

Speech recognition is an almost contemporary discipline in computer science. Around 1950, the first digit recognition system appeared, an entirely wired and highly imperfect device. Around 1960, the introduction of digital methods and the use of computers changed the dimension of research. Nevertheless, the results remained modest, as the difficulty of the problem had been greatly underestimated, particularly where continuous speech was concerned. Around 1970, the need to use linguistic constraints in the automatic decoding of sentences became clear, whereas speech recognition had hitherto been considered an engineering problem. The end of the 1970s saw the completion of the first generation of commercialized word recognition systems. Subsequent generations, taking advantage...

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

Digital documents and content management

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
Fields of automatic speech recognition

Previous
page Characteristics of spoken man-machine communication

Speech signal analysis

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...