Project Deep Attractor Network is an open source single-channel speech separation engine that uses a model trained by machine learning techniques, based on Zhuo Chen(http://danetapi.com/danet). Project Deep Attractor uses Google's TensorFlow project to facilitate implementation aided by TFLearn.
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CaiKuijie/Deep-Attractor-Network-TFLearn
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Attempt at implementing the Deep Attractor Network in TFLearn for single-source, multiple speaker speech separation.
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