Efficient FPGA implementation for sound source separation using direction-informed multichannel non-negative matrix factorization

Sound source separation (SSS) is a fundamental problem in audio signal processing, aiming to recover individual audio sources from a given mixture. A promising approach is multichannel non-negative matrix factorization (MNMF), which employs a Gaussian probabilistic model encoding both magnitude corr...

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Veröffentlicht in:	The Journal of supercomputing 2024, Vol.80 (9), p.13411-13433
Hauptverfasser:	Diel, Philipp, Muñoz-Montoro, Antonio J., Carabias-Orti, Julio J., Ranilla, Jose
Format:	Artikel
Sprache:	eng
Schlagworte:	Compilers Computer Science Covariance matrix Factorization Field programmable gate arrays Interpreters Probabilistic models Processor Architectures Programming Languages Separation Signal processing Sound sources
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