DocumentCode
2154193
Title
A improved dual-threshold speech endpoint detection algorithm
Author
Guo, Qiuyu ; Li, Nan ; Ji, Guangrong
Author_Institution
Dept. of Electron. Eng., Ocean Univ. of China, Qingdao, China
Volume
2
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
123
Lastpage
126
Abstract
This paper presents an improved dual-threshold speech endpoint detection algorithm based on short-time magnitude increment and short-time zero-crossing rate, which uses the continuous rise of speech short-time magnitude as the first-level decision threshold and short-time zero-crossing rate as the second-level decision threshold. Experimental results show that this algorithm is accurate, easy and reliable in the case of ideal signal to noise ratio (SNR).
Keywords
speech processing; dual threshold speech endpoint detection algorithm; short time magnitude increment; short time zero crossing rate; signal-to-noise ratio; speech short time magnitude; Computational complexity; Detection algorithms; Humans; Oceans; Signal processing; Signal processing algorithms; Signal to noise ratio; Speech enhancement; Speech processing; Speech recognition; SNR; endpoint detection; short-time magnitude increment; short-time zero-crossing rate;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451414
Filename
5451414
Link To Document