Prediction Based Filtering and Smoothing to Exploit Temporal Dependencies in NMF
2013 (English)In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE Signal Processing Society, 2013, 873-877 p.Conference paper (Refereed)
Nonnegative matrix factorization is an appealing technique for many audio applications. However, in it's basic form it does not use temporal structure, which is an important source of information in speech processing. In this paper, we propose NMF-based filtering and smoothing algorithms that are related to Kalman filtering and smoothing. While our prediction step is similar to that of Kalman filtering, we develop a multiplicative update step which is more convenient for nonnegative data analysis and in line with existing NMF literature. The proposed smoothing approach introduces an unavoidable processing delay, but the filtering algorithm does not and can be readily used for on-line applications. Our experiments using the proposed algorithms show a significant improvement over the baseline NMF approaches. In the case of speech denoising with factory noise at 0 dB input SNR, the smoothing algorithm outperforms NMF with 3.2 dB in SDR and around 0.5 MOS in PESQ, likewise source separation experiments result in improved performance due to taking advantage of the temporal regularities in speech.
Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2013. 873-877 p.
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Nonnegative matrix factorization (NMF), Probabilistic latent component analysis (PLCA), Prediction, Temporal dependencies.
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-119317DOI: 10.1109/ICASSP.2013.6637773ISI: 000329611501008ScopusID: 2-s2.0-84890522039ISBN: 978-147990356-6OAI: oai:DiVA.org:kth-119317DiVA: diva2:610994
2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013; Vancouver, BC; Canada; 26 May 2013 through 31 May 2013
QC 201402242013-03-132013-03-132014-02-24Bibliographically approved