Improved Kalman filtering for speech enhancement
2005 (English)In: 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, 1109-1112 p.Conference paper (Refereed)
The Kalman recursion is a powerful technique for reconstruction of tire speech signal observed in additive background noise. In contrast to Wiener filtering and spectral subtraction schemes, the Kalman algorithm can be easily implemented in both causal and noncausal form. After studying the perceptual differences between these two implementations we propose a novel algorithm that combines the low complexity and the robustness of the Kalman filter and the proper noise shaping of the Kalman smoother.
Place, publisher, year, edition, pages
2005. 1109-1112 p.
, International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Acoustic noise, Algorithms, Electric filters, Kalman filtering, Speech processing, Kalman recursion, Perceptual differences, Spectral subtraction schemes, Speech signals
IdentifiersURN: urn:nbn:se:kth:diva-38458DOI: 10.1109/ICASSP.2005.1415312ISI: 000229404200278ScopusID: 2-s2.0-33646768657ISBN: 0-7803-8874-7OAI: oai:DiVA.org:kth-38458DiVA: diva2:436931
International Conference on Acoustics Speech and Signal Processing ICASSP
QC 201108252011-08-252011-08-252011-10-14Bibliographically approved