TSEGAN:Target Speech Extraction Algorithm Based on Generative Adversarial Networks
2021 4th International Conference on Information Communication and Signal Processing (ICICSP)（2021）
摘要
Single-channel speech extraction algorithms based on deep learning need to calculate time-frequency mask, but the time-frequency mask function in existing speech extraction methods needs to be manually selected, and it is not encapsulated into a deep network for optimization learning, usually relying on Wiener filtering method for subsequent processing. In this paper, we proposes a speech extracti...
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关键词
Deep learning,Time-frequency analysis,Wiener filters,Signal processing algorithms,Generative adversarial networks,Generators,Classification algorithms
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