Neural network based spectral mask estimation for acoustic beamforming

ICASSP 2016 Jahn HeymannLukas DrudeReinhold Haeb-Umbach

We present a neural network based approach to acoustic beamforming. The network is used to estimate spectral masks from which the Cross-Power Spectral Density matrices of speech and noise are estimated, which in turn are used to compute the beamformer coefficients... (read more)

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