This paper concerns the use of formant frequency information in automatic speech recognition. The discussion is addressed to the physical significance of the formant and to how this relates t o the phonetic concepts of segment and equivalence that are needed for the recognition of phonetic types. Sp
โฆ LIBER โฆ
AUTOMATIC SPEECH RECOGNITION
โ Scribed by Fried, Louis
- Book ID
- 126718348
- Publisher
- Taylor and Francis Group
- Year
- 1996
- Tongue
- English
- Weight
- 404 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1058-0530
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Formants in automatic speech recognition
โ
David J. Broad
๐
Article
๐
1972
๐
Elsevier Science
โ 706 KB
Gaze-contingent automatic speech recogni
โ
Cooke, N.J.; Russell, M.
๐
Article
๐
2008
๐
The Institution of Engineering and Technology
๐
English
โ 374 KB
An application of automatic speech recog
โ
K.S. Henthorn; P.J. MacCormack
๐
Article
๐
1982
๐
Elsevier Science
โ 517 KB
Automatic optically-based recognition of
โ
Kathleen E. Finn; Allen A. Montgomery
๐
Article
๐
1988
๐
Elsevier Science
๐
English
โ 418 KB
Property extraction for automatic speech
โ
Regis Cardin; Renato De Mori; Jean Rouat
๐
Article
๐
1989
๐
Elsevier Science
๐
English
โ 699 KB
Automatic speech recognition for disable
โ
J.M. Noyes; R. Haigh; A.F. Starr
๐
Article
๐
1989
๐
Elsevier Science
๐
English
โ 729 KB
It has been suggested that one of the most promising areas for the application of speech recognition is in helping handicapped people (Leggett and Williams, 1984). Within the last decade, many improvements have been made in the performance of automatic speech recognisers and current technology is di