Third European Conference on Speech Communication and Technology

Berlin, Germany
September 22-25, 1993


A Comparison of Approaches to Automatic Language Identification Using Telephone Speech

Yeshwant Muthusamy, Kay Berkling, Takayuki Arai, Ronald Cole, Etienne Barnard

Center for Spoken Language Understanding, Oregon Graduate Institute of Science and Technology, Portland, OR, USA

A variety of approaches to language identification, based on (a) acoustic features, (b) broad-category segmentation, and (c) fine phonetic classification, are introduced. These approaches are evaluated in terms of their ability to distinguish between English and Japanese utterances spoken over a telephone channel. It is found that the best performance (86.3 % accurate classification of utterances with a mean length of 13.4 sec) is obtained when fine phonetic features are employed. In addition, the results show the importance of discriminatory training rather than likelihood estimation.

Full Paper

Bibliographic reference.  Muthusamy, Yeshwant / Berkling, Kay / Arai, Takayuki / Cole, Ronald / Barnard, Etienne (1993): "A comparison of approaches to automatic language identification using telephone speech", In EUROSPEECH'93, 1307-1310.