使用 LSTM 和 Pixel CNN 生成音乐_python_代码_下载

# AIMusicGenerator Project for the subject Computational Intelligence Fundamentals <ul> <li>Team members: Danijel Radulović, Dragan Ćulibrk</li> <br> <li>Teaching assistant: Aleksandar Lukić</li> <br> <li>Problem:<br> Generating music using LSTM neural network. Based on the sequence of notes/chords, the next note/chord should be provided. Preprocessing MIDI files, extracting notes and chords and mapping them to numbers provided a training set for the neural network. After the training of the model, notes/chords are generated, based on the randomly selected sequence of notes from the training set.<br><br> As the second approach for generating music, we used PixelCNN++ implementation of neural network. Preprocessed MIDI files are converted to images which are used as a training set for the network. <br><br>We used <b>PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications</b>, by Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma, and Yaroslav Bulatov. https://github.com/openai/pixel-cnn </li> </ul> # Setup To run this code you need the following: <ul> <li>Python3</li> <li>Music21</li> <li>Joblib</li> <li>ImageIO</li> <li>PIL</li> <li>Numpy</li> <li>Keras and Tensorflow</li> </ul>