DocumentCode :
2790318
Title :
A statistical model-based double-talk detection incorporating soft decision
Author :
Park, Yun-Sik ; Song, Ji-hyun ; Kang, Sang-Ick ; Lee, Woojung ; Chang, Joon-Hyuk
Author_Institution :
Sch. of Electron. Eng., Inha Univ., Incheon, South Korea
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
5082
Lastpage :
5085
Abstract :
In this paper, we propose a novel double-talk detection (DTD) technique based on a soft decision in the frequency domain. The proposed method provides an efficient procedure to detect the double-talk situation by the use of the global near-end speech presence probability (GNSPP) and voice activity detection (VAD) of the near-end and far-end signal. Specifically, the GNSPP is derived based on a statistical method of speech and is employed to determine the double-talk presence in a given frame. The performance of our approach is evaluated by objective tests under different environments, and it is found that the suggested method yields better results compared with the conventional scheme.
Keywords :
radiocommunication; statistical analysis; voice communication; GNSPP; VAD; double-talk detection; frequency domain; global near-end speech presence probability; soft decision; statistical model; voice activity detection; Acoustic signal detection; Acoustic testing; Adaptive filters; Background noise; Frequency domain analysis; Least squares approximation; Microphones; Probability; Speech enhancement; Statistical analysis; Double-Talk Detection; Speech Presence Probability; Voice Activity Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495051
Filename :
5495051
Link To Document :
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