DocumentCode
419789
Title
Structural representation of speech for phonetic classification
Author
Gutkin, Alexander ; King, Simon
Author_Institution
Centre for Speech Technol. Res., Edinburgh Univ., UK
Volume
3
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
438
Abstract
This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition (ASR), via a structural representation of speech. This representation is based on a set of phonological distinctive features which is a linguistically well-motivated alternative to the "beads-on-a-string" view of speech that is standard in current ASR systems. We report the promising results of phoneme classification experiments conducted on a standard continuous speech task.
Keywords
feature extraction; pattern classification; pattern clustering; speech processing; speech recognition; automatic speech recognition; pattern clustering; phonetic classification; phonological distinctive features; structural speech representation; symbolic metric algorithms; Acoustic signal detection; Automatic speech recognition; Data mining; Detectors; Feature extraction; Hidden Markov models; Neural networks; Pattern recognition; Topology; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334560
Filename
1334560
Link To Document