Name
Title | ||
|---|---|---|
Language identification via large vocabulary speaker independent continuous speech recognition |
Abstract | ||
|---|---|---|
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 language 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 unifying 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 Spanish. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.3115/1075812.1075913 | HLT |
Keywords | Field | DocType |
speech recognition,speaker identification,large vocabulary speaker,independent continuous speech recognition,theoretical framework,classifying utterance,message classification problem,earlier work,message classification system,underlying stochastic process,large vocabulary continuous speech,language identification,classification system,stochastic process | Speaker identification,Speech analytics,Computer science,Audio mining,Stochastic process,Speech recognition,Speaker recognition,Natural language processing,Artificial intelligence,Language identification,Vocabulary | Conference |
ISBN | Citations | PageRank |
1-55860-357-3 | 7 | 2.85 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steve Lowe | 1 | 76 | 8.53 |
| Anne Demedts | 2 | 17 | 5.23 |
| Larry Gillick | 3 | 89 | 32.78 |
| Mark Mandel | 4 | 13 | 4.36 |
| Barbara Peskin | 5 | 68 | 25.14 |