DocumentCode
2664202
Title
A syllable-based pseudo-articulatory approach to speech recognition
Author
Zhang, Li
Author_Institution
Sch. of Comput. Sci., Univ. of Birmingham, UK
fYear
2003
fDate
26-29 Oct. 2003
Firstpage
78
Lastpage
83
Abstract
We present an account of the use of syllable structure as the basis for a novel approach to speech recognition. This contrasts with the serial organization of more conventional phonetic segments, and their use in speech recognition systems. It is demonstrated that working with syllables provides the basis for linguistically motivated speech recognition using pseudo-articulatory representations (PARs). The results are very promising taking into account the preliminary nature of the work and the novelty of the approach.
Keywords
hidden Markov models; speech processing; speech recognition; phonetic segments; pseudo-articulatory representations; speech recognition systems; syllable-based pseudo-articulatory approach; Computational modeling; Computer science; Face recognition; Feature extraction; Hidden Markov models; Labeling; Natural languages; Pattern recognition; Speech processing; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-7902-0
Type
conf
DOI
10.1109/NLPKE.2003.1275872
Filename
1275872
Link To Document