Multi-Speaker Adaptation for Robust Speech Recognition under Ubiquitous Environment

被引：0
|
作者：
Shih, Po-Yi [1 ]
Wang, Jhing-Fa [1 ]
Lin, Yuan-Ning [1 ]
Fu, Zhong-Hua [1 ]
机构：
[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 70101, Taiwan
来源：
ORIENTAL COCOSDA 2009 - INTERNATIONAL CONFERENCE ON SPEECH DATABASE AND ASSESSMENTS | 2009年
关键词：
SUPPORT VECTOR MACHINES; SPEAKER VERIFICATION; NEURAL-NETWORK; IDENTIFICATION; MODELS; SYSTEMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a multi-speaker adaptation for robust speech recognition under ubiquitous environment. The goal is to adapt the speech recognition model for each speaker correctly in ubiquitous multi-speaker environment. We integrate speaker recognition and unsupervised speaker adaptation method to promote the speech recognition performances. Specifically we employ a confidence measure to reduce the possible negative adaptation caused by the environment noise or the recognition errors. The experimental results show that the proposed framework can efficiently promote the average recognition accuracy to 80-90% for multi-speaker ubiquitous speech recognition.
引用
收藏
页码：126 / 131
页数：6
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