Papers

Easy

• How to Generate Music using a LSTM Neural Network in Keras
• Deep Learning for Music
• A Connectionist Approach to Algorithmic Composition

More advanced

Read - Very clear

• Music transcription modelling and composition using deep learning
• MIDI-VAE: MODELING DYNAMICS AND INSTRUMENTATION OF MUSIC WITH APPLICATIONS TO STYLE TRANSFER
• LEARNING A LATENT SPACE OF MULTITRACK MEASURES
• Tuning Recurrent Neural Networks with Reinforcement Learning
• Using Autonomous Agents to Improvise Music Compositions in Real-Time

Not read yet

• SONG FROM PI: A MUSICALLY PLAUSIBLE NETWORK FOR POP MUSIC GENERATION
• CONDITIONING DEEP GENERATIVE RAW AUDIO MODELS FOR STRUCTURED AUTOMATIC MUSIC
• Deep Predictive Models in Interactive Music
• JazzGAN - Improvising with Generative Adversarial Networks
• An End to End Model for Automatic Music Generation: Combining Deep Raw and Symbolic Audio Networks
• What do these 5,599,881 parameters mean? An analysis of a specific LSTM music transcription model, starting with the 70,281 parameters of its softmax layer
• Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands
• A Universal Music Translation Network
• ChordRipple: Recommending Chords to Help Novice Composers Go Beyond the Ordinary
• A Recurrent Neural Network for Musical Structure Processing and Expectation
• Deep Models for Ensemble Touch-Screen Improvisation
• Music Generation Using Deep Learning

Jean-Pierre.Briot@lip6.fr 27/08/2018