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JSTSP Volume 13 Issue 4

Time-Frequency Masking Based Online Multi-Channel Speech Enhancement With Convolutional Recurrent Neural Networks

This paper presents a time-frequency masking based online multi-channel speech enhancement approach that uses a convolutional recurrent neural network to estimate the mask. The magnitude and phase components of the short-time Fourier transform coefficients for multiple time frames are provided as an input such that the network is able to discriminate between the directional speech...

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