Efficient FPGA implementation for sound source separation using direction-informed multichannel non-negative matrix factorization
Philipp Diel,
Antonio J. Muñoz-Montoro,
Julio J. Carabias-Orti
et al.
Abstract: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 correlations and phase differences between channels through spatial covariance matrices (SCM). In this work, we present a dedicated hardware architecture implemented on field programmable gate arrays (FPGAs) for efficie… Show more
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