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Multichannel high-resolution NMF for modeling convolutive mixtures of non-stationary signals in the Time-Frequency domain

Badeau, R and Plumbley, MD (2014) Multichannel high-resolution NMF for modeling convolutive mixtures of non-stationary signals in the Time-Frequency domain IEEE/ACM Transactions on Audio, Speech and Language Processing, 22 (11). pp. 1670-1680.

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Abstract

Several probabilistic models involving latent components have been proposed for modeling time-frequency (TF) representations of audio signals such as spectrograms, notably in the nonnegative matrix factorization (NMF) literature. Among them, the recent high-resolution NMF (HR-NMF) model is able to take both phases and local correlations in each frequency band into account, and its potential has been illustrated in applications such as source separation and audio inpainting. In this paper, HR-NMF is extended to multichannel signals and to convolutive mixtures. The new model can represent a variety of stationary and non-stationary signals, including autoregressive moving average (ARMA) processes and mixtures of damped sinusoids. A fast variational expectation-maximization (EM) algorithm is proposed to estimate the enhanced model. This algorithm is applied to piano signals, and proves capable of accurately modeling reverberation, restoring missing observations, and separating pure tones with close frequencies.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Badeau, RUNSPECIFIEDUNSPECIFIED
Plumbley, MDUNSPECIFIEDUNSPECIFIED
Date : November 2014
Identification Number : 10.1109/TASLP.2014.2341920
Additional Information : This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.
Depositing User : Symplectic Elements
Date Deposited : 22 Apr 2015 13:22
Last Modified : 18 Jun 2015 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/807421

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