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Ray-Space-Based Multichannel Nonnegative Matrix Factorization for Audio Source Separation

2021

Nonnegative matrix factorization (NMF) has been traditionally considered a promising approach for audio source separation. While standard NMF is only suited for single-channel mixtures, extensions to consider multi-channel data have been also proposed. Among the most popular alternatives, multichannel NMF (MNMF) and further derivations based on constrained spatial covariance models have been successfully employed to separate multi-microphone convolutive mixtures. This letter proposes a MNMF extension by considering a mixture model with Ray-Space-transformed signals, where magnitude data successfully encodes source locations as frequency-independent linear patterns. We show that the MNMF alg…

Covariance functionComputer scienceApplied Mathematics020206 networking & telecommunications02 engineering and technologyExtension (predicate logic)Mixture modelMatrix decompositionNon-negative matrix factorizationTime–frequency analysisblind source separationSignal Processing0202 electrical engineering electronic engineering information engineeringSource separationNon -negative matrix factorization (NMF)array signal processingElectrical and Electronic EngineeringAlgorithmIEEE Signal Processing Letters
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