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speech endpoint detection algorithm for uyghur based on acoustic frequency feature
Yang Yating; Ma Bo; Turghun Osman; Li Xiao
2010
Conference NameIEEE 10TH International Conference on Signal Processing
Source PublicationInternational Conference on Signal Processing Proceedings, ICSP
Pages553-556
Conference DateOCT 24-28, 2010
Conference PlaceBeijing, PEOPLES R CHINA
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III
Abstract

Accurate endpoint detection is important for improving the speech recognition capability. This paper proposes an effective endpoint detection algorithm based on the acoustic frequency feature for Uyghur. The spectrum of each speech frame is divided into several sub-bands, and the maximum average spectral density of these sub-bands is used as the detection criteria to distinguish the speech and noise. At the same time, a dynamically updated threshold and a smoothing window are used to improve the performance of the algorithm. It is characterized by higher accuracy or flexibility, faster processing speed and less computation. Experimental results show that the proposed algorithm achieves better performance compared to energy based and zero-crossing rate based algorithms.

KeywordEndpoint Detection Spectral Distribution Spectral Density Sub-band Noise Substraction
Funding OrganizationIEEE Beijing Sect, IEEE Signal Proc Soc, Chinese Inst Elect, Inst Engn & Technol, Union Radio Sci Int, Natl Nat Sci Fdn China, IEEE Signal Proc Soc Beijing Chapter, IEEE Comp Soc Beijing Chapter, Japan China Sci & Technol Exchange Assoc, Shenzhen Univ, Intelligent Informat Inst
Document Type会议论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/2325
Collection多语种信息技术研究室
AffiliationChinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Res Ctr Multilingual Informat Technol, Urumqi, Peoples R China
Recommended Citation
GB/T 7714
Yang Yating,Ma Bo,Turghun Osman,et al. speech endpoint detection algorithm for uyghur based on acoustic frequency feature[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III,2010:553-556.
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