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

页码：101 / +

页数：2

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