🎵 Music-Gen

A project on Symbolic Music Generation

♯ Part 1: Generating New Bach Chorales

• We use the Bach Doodle Dataset to generate new four-bar phrases of music.
• User melodies are harmonised in the style of Bach Chorales by CoCoNet.
• We then train an LSTM-GAN to be able to generate new examples.

♭ Part 2: Long-Term Harmonic Structure

• Generating music with long-term structure such as repeated themes or chord progressions is still a challenge.
• The main idea is to develop an RNN architecture that effectively captures ideas from previous bars.
• For example, Lookback and Attention are methods that can be useful to create long-term structure.

🔮 For The Future:

👀 Latent Feature Personalisation

• We can explore how the latent features affect the characteristics of the music produced.
• This could assist the composer in personalisation of the music.

🟥 Penalty Term

• During the learning process, we could add a penalty term as well to the loss function that rewards various themes depending on the task.
• For Part 1, this could be in the form of penalising the presence of Parallel Fifths / Octaves.
• In Part 2, we could reward the model for repeating melodic themes or chord progressions.