Multi-Channel Linear Prediction Speech Dereverberation Algorithm Based on QR-RLS Adaptive Filter
Title | Multi-Channel Linear Prediction Speech Dereverberation Algorithm Based on QR-RLS Adaptive Filter |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Sun, Xuguang, Zhou, Yi, Shu, Xiaofeng |
Conference Name | Proceedings of the 3rd International Conference on Multimedia Systems and Signal Processing |
Date Published | April 2018 |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-6457-7 |
Keywords | adaptive 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. |
URL | http://doi.acm.org/10.1145/3220162.3220176 |
DOI | 10.1145/3220162.3220176 |
Citation Key | sun_multi-channel_2018 |