Title
Reverberation Robust Multi-Channel Post-Filtering Using Modified Signal Presence Probability
Abstract
A multi-channel post-filtering algorithm in reverberant environment based on detection and estimation scheme is proposed. The key estimator of signal presence probability (SP-P), which is in consideration of reverberation, is modified with direct-to-reverberate ratio (DRR). A new desired signal detection scheme is proposed to instruct the updating of transient noise and residual interference estimation, which takes advantage of SPP in the time-frequency domain. The proposed multi-channel post-filtering is tested in different non-stationary noisy and reverberant environments. Experimental results show that it outperforms the comparative algorithms on signal preservation of the desired speech with more noise reduction.
Year
Venue
Keywords
2015
2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING
Speech Enhancement, Multi-channel Post-filtering, Reverberation Robust, Signal Detection
Field
DocType
Citations 
Noise floor,Reverberation,Noise (signal processing),Computer science,Signal-to-noise ratio,Algorithm,Filter (signal processing),Speech recognition,Transient noise,Signal transfer function,Multiplicative noise
Conference
0
PageRank 
References 
Authors
0.34
11
5
Name
Order
Citations
PageRank
Xiaofei Wang1134.99
Xu Li282.22
Yanmeng Guo392.59
Qiang Fu479181.92
Yonghong Yan5656114.13