DocumentCode :
2328392
Title :
Accent identification
Author :
Teixeira, Carlos ; Trancoso, Isabel ; Serralheiro, António
Author_Institution :
INESC, Lisbon, Portugal
Volume :
3
fYear :
1996
fDate :
3-6 Oct 1996
Firstpage :
1784
Abstract :
Foreign accent identification is a new challenging problem closely related to other relatively recent fields of the multilingual area such as dialect identification and language identification. The paper describes an automatic identification system for English accents from 6 different European countries. The approach is based on a parallel set of ergodic nets with context independent HMM units. The ergodic topology was also substituted by pronunciation transcription constraints in order to integrate accent specific automatic word recognisers. Considering the complexity of the task, the results can be considered encouraging for further research
Keywords :
hidden Markov models; identification; speech recognition; European countries; accent specific automatic word recognisers; automatic English accent identification system; context independent hidden Markov model units; dialect identification; ergodic nets; ergodic topology; foreign accent identification; language identification; pronunciation transcription constraints; Application software; Automatic speech recognition; Databases; Feedback; Hidden Markov models; Microcomputers; Natural languages; Telephony; Topology; Usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-3555-4
Type :
conf
DOI :
10.1109/ICSLP.1996.607975
Filename :
607975
Link To Document :
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