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