Visible to the public Multi-Channel Linear Prediction Speech Dereverberation Algorithm Based on QR-RLS Adaptive Filter

TitleMulti-Channel Linear Prediction Speech Dereverberation Algorithm Based on QR-RLS Adaptive Filter
Publication TypeConference Paper
Year of Publication2018
AuthorsSun, Xuguang, Zhou, Yi, Shu, Xiaofeng
Conference NameProceedings of the 3rd International Conference on Multimedia Systems and Signal Processing
Date PublishedApril 2018
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-6457-7
Keywordsadaptive filter, adaptive filtering, Metrics, multi-channel linear prediction, pubcrawl, QR-RLS, Resiliency, Scalability, Speech dereverberation
Abstract

This paper proposes a multi-channel linear prediction (MCLP) speech dereverberation algorithm based on QR-decomposition recursive least squares (QR-RLS) adaptive filter, which can avoid the possible instability caused by the RLS algorithm, and achieve same speech dereverberation performance as the prototype MCLP dereverberation algorithm based on RLS. This can be confirmed by the theoretical derivation and experiments. Thus, the proposed algorithm can be a good alternative for practical speech applications.

URLhttp://doi.acm.org/10.1145/3220162.3220176
DOI10.1145/3220162.3220176
Citation Keysun_multi-channel_2018