0000000000452765

AUTHOR

J.j. Carabias-orti

showing 2 related works from this author

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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Nonnegative signal factorization with learnt instrument models for sound source separation in close-microphone recordings

2013

Close-microphone techniques are extensively employed in many live music recordings, allowing for interference rejection and reducing the amount of reverberation in the resulting instrument tracks. However, despite the use of directional microphones, the recorded tracks are not completely free from source interference, a problem which is commonly known as microphone leakage. While source separation methods are potentially a solution to this problem, few approaches take into account the huge amount of prior information available in this scenario. In fact, besides the special properties of close-microphone tracks, the knowledge on the number and type of instruments making up the mixture can al…

ReverberationInstruments musicalsComputer sciencebusiness.industryMicrophoneMúsica -- InformàticaSignalNon-negative matrix factorizationSet (abstract data type)FactorizationInterference (communication)Source separationComputer visionArtificial intelligenceMicròfonsbusinessEURASIP Journal on Advances in Signal Processing
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