Robust Beamforming for Speech Recognition Using DNN-Based Time-Frequency Masks Estimation
This paper addresses the robust beamforming problem for speech recognition using a novel time-frequency mask estimator. The beamformer first estimates the time-frequency mask using a deep neural network (DNN) based on which the covariance matrices of the target speech and noise are computed. Then, t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8466865/ |