DocumentCode :
2449087
Title :
Reverberation time estimationbased on multidelay acousticecho cancellation
Author :
Ma, Changxue ; Shi, Guangji
Author_Institution :
DTS Inc., Scotts Valley, CA, USA
fYear :
2012
fDate :
16-18 July 2012
Firstpage :
230
Lastpage :
234
Abstract :
Acoustic echo cancellation (AEC) and de-reverberation technologies are increasingly important to improve the voice communication and control performance in challenging acoustic environments. In both voice over IP teleconferencing and voice command control, AEC is needed to remove the far-end speech or the playback audio from the speakers and allow the near-end speech to enter the command control system or the far-end listener. Even there is no far-end speech, the near-end speech, i.e. captured signal can be degraded by reverberation when a speaker is far away from the microphone. This reverberation interference significantly degrades speech quality and speech recognition accuracy. A spectral subtraction based approach has been used for reverberation reduction in our system. In this paper, we propose to estimate the reverberation time based on the estimated room impulse response from the multidelay acoustic echo canceller. The approach is able to effectively reduce reverberation in noisy environments while maintaining low complexity on system level.
Keywords :
Internet telephony; echo suppression; reverberation; signal denoising; speech recognition; teleconferencing; transient response; AEC; dereverberation technology; estimated room impulse response; far-end speech; microphone; multidelay acoustic echo cancellation; multidelay acoustic echo canceller; near-end speech; playback audio; reverberation interference; reverberation reduction; reverberation time estimation; spectral subtraction based approach; speech recognition; voice command control system; voice communication; voice-over-IP teleconferencing; Adaptive filters; Microphones; Noise; Reverberation; Speech; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0173-2
Type :
conf
DOI :
10.1109/ICALIP.2012.6376617
Filename :
6376617
Link To Document :
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