CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization

19 Dec 2019 Jeroen Zegers Hugo Van hamme

In recent years there have been many deep learning approaches towards the multi-speaker source separation problem. Most use Long Short-Term Memory - Recurrent Neural Networks (LSTM-RNN) or Convolutional Neural Networks (CNN) to model the sequential behavior of speech... (read more)

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Methods used in the Paper


METHOD TYPE
Random Search
Hyperparameter Search
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
LSTM
Recurrent Neural Networks