Paper: Language Identification Via Large Vocabulary Speaker Independent Continuous Speech Recognition

ACL ID H94-1087
Title Language Identification Via Large Vocabulary Speaker Independent Continuous Speech Recognition
Venue Human Language Technologies
Session Main Conference
Year 1994
Authors

The goal of this study is to evaluate the potential for using large vocabulary continuous speech recognition as an engine for automatically classifying utterances according to the lan- guage being spoken. The problem of language identification is often thought of as being separate from the problem of speech recognition. But in this paper, as in Dragon's earlier work on topic and speaker identification, we explore a uni- fying approach to all three message classification problems based on the underlying stochastic process which gives rise to speech. We discuss the theoretical framework upon which our message classification systems are built and report on a series of experiments in which this theory is tested, using large vocabulary continuous speech recognition to distinguish English from S...