This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 WRI World Congress on Computer Science and Information Engineering
An Improved Endpoint Detection Algorithm with Low Signal-to-Noise Ratio
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
An endpoint detection algorithm that combines expanded spectral subtraction with the SAP (speech absence probability) soft decision is proposed based on traditional methods. The algorithm employs a method of expanded spectral subtraction based on the noise compensation structure, which can estimate the noise during speech presence. A method of endpoint detection based on the SAP soft decision is given, which improves robustness and precision of endpoint detection. The experiments show that better performance can be obtained even if SNR is equal to -10dB whereas such performance cannot be achieved by traditional energy-based methods with the same SNR.
Index Terms:
Endpoint detection, Expanded spectral subtraction, Speech absence probability
Citation:
Wang Yue, Qian Zhihong, Wang Xiuli, "An Improved Endpoint Detection Algorithm with Low Signal-to-Noise Ratio," csie, vol. 6, pp.121-125, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.