Most of the traditional a priori SNR estimators, such as the decision-directed approach and its improved versions, only consider the correlation of adjacent frames. Whereas, it is well-known that voiced speech is a typical harmonic signal that results in strong correlation of harmonics. We can expect that the a priori SNR estimator can be improved if the correlation of adjacent frames and harmonics can be used simultaneously. With this motivation, we propose to use the reassigned spectrogram (RS) to control the forgetting factor of the decision-directed approach. Experimental results indicate that the proposed RS-based SNR estimator is much better than the traditional decision-directed approach.

Authors: Wang, Jie; Yang, Chengcheng; Zhang, Chunliang; Peng, Renhua
Affiliations: Guangzhou University, Guangzhou, China; Chinese Academy of Sciences, Beijing, China(See document for exact affiliation information.)
AES Convention: 141 (September 2016) Paper Number: 9644
Publication Date: September 20, 2016 Import into BibTeX
Subject: Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=18448

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