Anti-noise Endpoint Detection Algorithm Based on Time-frequency Joint

doi:10.3969/j.issn.1006-2475.2011.08.009

Computer and Modernization ›› 2011, Vol. 1 ›› Issue (8): 29-31.doi: 10.3969/j.issn.1006-2475.2011.08.009

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Anti-noise Endpoint Detection Algorithm Based on Time-frequency Joint

LI Ling-guang

School of Software Engineering, Beijing University of Technology, Beijing 100022, China

Received:2011-03-29 Revised:1900-01-01 Online:2011-08-10 Published:2011-08-10

Abstract

Abstract: Endpoint detection is an essential technology in a speech recognition system, its accuracy has a very tremendous influence on the speech recognition performance. This paper proposes a band-partitioning spectral entropy and short-time energy based endpoint detection algorithm based on time-frequency joint. Compared with the two-door method and spectral entropy, its precision is greatly improved. This method has characteristics for noise immunity and real-time, and can be applied to practical application of speech recognition.

Key words: endpoint detection, band-partitioning spectral entropy, time-frequency joint, short-time energy, SNR

CLC Number:

TP391

LI Ling-guang. Anti-noise Endpoint Detection Algorithm Based on Time-frequency Joint[J]. Computer and Modernization, 2011, 1(8): 29-31.

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Anti-noise Endpoint Detection Algorithm Based on Time-frequency Joint

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