Automatic Multi-Speaker Speech Recognition System Based on Time-Frequency Blind Source Separation under Ubiquitous Environment

被引：0
|
作者：
Wang, Zhe [1 ]
Zhang, Haijian [1 ]
Bi, Guoan [1 ]
Li, Xiumei [2 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[2] Hangzhou Normal Univ, Sch Informat Sci & Engn, Hangzhou, Peoples R China
来源：
PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2014年
关键词：
FOURIER-TRANSFORM; NOISE; DOMAIN;
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, an automatic speech recognition (ASR) system under ubiquitous environment is proposed, which is successfully implemented in a personalized voice command system under vehicle and living room environment. The proposed ASR system describes a novel scheme of separating speech sources from multi-speakers, detecting speech presence/absence by tracking the higher portion of speech power spectrum and adaptively suppressing noises. An automatic recognition algorithm to adapt with the multi-speaker task is designed and conducted. Evaluation tests are carried out using noise database NOISEX-92 and speech database YOHO Corpus. Experimental results show that the proposed algorithm manages to achieve very impressive improvements.
引用
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页码：101 / +
页数：2
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