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Project applying neural networks to audio data, in particular, attempting to train an LSTM to recognize and reproduce music based on raw music samples. Uses FFT/Phase Vocoder for input followed by an autoencoder and then an LSTM with a mixture density cost function to model the sequence of data.

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Project applying neural networks to audio data, in particular, attempting to train an LSTM to recognize and reproduce music based on raw music samples. Uses FFT/Phase Vocoder for input followed by an autoencoder and then an LSTM with a mixture density cost function to model the sequence of data.

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  • Java 99.8%
  • Shell 0.2%