LANGUAGE IDENTIFICATION OF INDIVIDUAL WORDS IN A MULTILINGUAL AUTOMATIC SPEECH RECOGNITION SYSTEM

被引：2
|
作者：
Hategan, Andrea [1 ]
Barliga, Bogdan [2 ]
Tabus, Ioan [1 ]
机构：
[1] Tampere Univ Technol, FIN-33101 Tampere, Finland
[2] Nokia Device, Tampere, Finland
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年
基金：
芬兰科学院;
关键词：
Pattern classification; data compression;
D O I：
10.1109/ICASSP.2009.4960594
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper presents a new algorithm for identifying the language of words in a multilingual automatic speech recognition system. The new algorithm uses as input written words and it is composed of a method for language modelling and a method to select the language of a given word based on the available models. We also present two selection rules for the model's parameters. One of the rules uses a free parameter that, controls the accuracy of the resulted model, as well as its size. On average, the classification accuracy of the new algorithm is above 70% for the first best and above 80% for the first two best.
引用
收藏
页码：4357 / +
页数：2
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