IMPROVING AUTOMATIC SPEECH RECOGNITION ROBUSTNESS FOR THE ROMANIAN LANGUAGE

被引：0
|
作者：
Buzo, Andi [1 ]
Cucu, Horia [1 ]
Burileanu, Corneliu [1 ]
机构：
[1] Univ Politehn Bucuresti, Fac Elect Telecommun & Informat Technol, Iuliu Maniu 1-3,Sect 6, Bucharest, Romania
来源：
19TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2011) | 2011年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper we propose an alternative way of improving speech recognition accuracy by analyzing the relevance of voice feature dimensions. A new measure is defined in order to quantify the feature distribution overlapping. Based on this measure, weights for voice feature dimensions are calculated and then applied to the hypotheses resulted from an N-best recognition process. Experiments are made with an Automatic Speech Recognition (ASR) system for the Romanian language. A relative improvement of 22% is obtained in terms of Word Error Rate (WER).
引用
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页码：2119 / 2122
页数：4
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