Title :
Unsupervised pronunciation grammar generation for non-native speech recognition
Author :
Huang, Chien-Lin ; Wu, Chung-Hsien ; Chen, Yi ; Hsu, Chin-Shun ; Lee, Kuei-Ming
Author_Institution :
Nat. Cheng Kung Univ., Tainan
fDate :
Oct. 30 2007-Nov. 2 2007
Abstract :
This study presents a novel approach to unsupervised pronunciation grammar generation for non-native speech recognition. Unsupervised pronunciation grammar generation includes pronunciation variation graph construction, stochastic Markov search and grammar selection. Context-dependent relation and phone broad class information are used for variation graph construction. Confidence measure and co-occurrence frequency are used to select the variants of pronunciation grammar for non-native speech modeling. Experiments show that unsupervised pronunciation grammar generation is suitable for the improvement of non-native speech recognition.
Keywords :
Markov processes; grammars; speech recognition; context-dependent relation; grammar selection; nonnative speech modeling; nonnative speech recognition; phone broad class information; pronunciation variation graph construction; stochastic Markov search; unsupervised pronunciation grammar generation; variation graph construction; Automatic speech recognition; Computer industry; Computer science; Construction industry; Frequency; Industrial relations; Natural languages; Speech processing; Speech recognition; Stochastic processes;
Conference_Titel :
TENCON 2007 - 2007 IEEE Region 10 Conference
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-1272-3
Electronic_ISBN :
978-1-4244-1272-3
DOI :
10.1109/TENCON.2007.4428886
