Journal article
Binaural dereverberation based on interaural coherence histograms
A binaural dereverberation algorithm is presented that utilizes the properties of the interaural coherence (IC) inspired by the concepts introduced in Allen et al. [J. Acoust. Soc. Am. 62, 912-915 (1977)]. The algorithm introduces a non-linear sigmoidal coherence-to-gain mapping that is controlled by an online estimate of the present coherence statistics.
The algorithm automatically adapts to a given acoustic environment and provides a stronger dereverberation effect than the original method presented in Allen et al. [J. Acoust. Soc. Am. 62, 912-915 (1977)] in most acoustic conditions. The performance of the proposed algorithm was objectively and subjectively evaluated in terms of its impacts on the amount of reverberation and overall quality.
A binaural spectral subtraction method based on Lebart et al. [Acta Acust. Acust. 87, 359-366 (2001)] and a binaural version of the original method of Allen et al. were considered as reference systems. The results revealed that the proposed coherence-based approach is most successful in acoustic scenarios that exhibit a significant spread in the coherence distribution where direct sound and reverberation can be segregated.
This dereverberation algorithm is thus particularly useful in large rooms for short source-receiver distances.
Language: | English |
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Publisher: | Acoustical Society of America |
Year: | 2013 |
Pages: | 2767-2777 |
ISSN: | 15208524 , 00014966 and 01630962 |
Types: | Journal article |
DOI: | 10.1121/1.4799007 |
ORCIDs: | Dau, Torsten |