What is the code for generating sequential music using Recurrent Neural Networks RNNs and LSTMs

Question

I was hoping you could give me the code for generating sequential music using Recurrent Neural Networks (RNNs) and LSTMs.

Answer 1

To generate sequential music using Recurrent Neural Networks (RNNs) and LSTMs, you need to prepare a dataset of note sequences, train the model to predict the next note, and use it for generation. Here is the code showing how:

In the above code, we are using the following:

• Input Representation:

  • One-hot encode notes or preprocess MIDI files into sequences of integers.

• Model:

  • Use an LSTM to learn temporal patterns in music sequences.

• Generation:

  • Seed the model with a starting note or sequence.
  • Use sampling techniques (e.g., multinomial) to generate the next notes sequentially.

• Preprocessing:

  • Use libraries like pretty_midi or mido to process MIDI files into datasets.

Hence, this is the code for generating sequential music using Recurrent Neural Networks RNNs and LSTMs