Projects

Design/Implementation Projects

Implementation pointers

• Music Classification
  Objective: Classification of music melodies along three possible composers: Bach, Mozart and Chopin.
  Trick: Set up the global music duration as well as the shortest note duration.
  Input: a melody (Music21 or XML or MIDI format) of a fixed duration.
  Output: the most likely class.

• Counterpoint Accompaniment
  Objective: Generation of the counterpoint accompaniment of a melody.
  Trick: Iterative generation by a feedforward architecture generating time slice by time slice. Compare with the standard (course) architecture and the triple model (course) architecture.
  Input: a melody (Music21 or XML or MIDI format) of a fixed duration.
  Output: the three accompaniment voices.

• Chord Accompaniment
  Objective: Generation of the chords harmony accompaniment of a melody.
  Trick: Representation of chords.
  Input: a melody (Music21 or XML or MIDI format) of a fixed duration.
  Output: the accompanying sequence of chords.

• Personal Proposal

Article Presentation Projects

• In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound
• MUSIC TRANSFORMER - GENERATING MUSIC WITH LONG-TERM STRUCTURE
• Adversarial Autoencoders
• 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
• A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Allocation/Choice

• Amanda Amaro
• Arthur Kampela
• Augusto Tonnel
• Bruno Crotman, Project: Emotion recognition
• Carina da Silva Chear, Article: An End to End Model for Automatic Music Generation: Combining Deep Raw and Symbolic Audio Networks
• Elisabeth Cosati, Article: In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound
• Hugo Sales Corréa, Article: A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music & Project: Experiments with MusicVAE
• João Travassos Penchel
• Liduino Pitombeira, Article: ChordRipple - Recommending Chords to Help Novice Composers Go Beyond the Ordinary & Project: Chord accompaniment
• Livia Carolina Gouvéa de Faria, Article: A Recurrent Neural Network for Musical Structure Processing and Expectation
• Luciano da Silva Figueiredo, Article: Deep Predictive Models in Interactive Music
• Luiz Alexandre Martins da Costa, Article: Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands
• Mariana Souza de Oliveira, Article: Now Playing - Continuous low-power music recognition & An Industrial-Strength Audio Search Algorithm
• Marcos Cotrim, Project: Music Classification
• Rodrigo Valente Pascale
• Thuany de Aguiar Santos

Presentation Agenda

• 25 June 2019
  • Mariana Souza de Oliveira, Article: Now Playing - Continuous low-power music recognition & An Industrial-Strength Audio Search Algorithm, Presentation
  • Livia Carolina Gouvéa de Faria, Article: A Recurrent Neural Network for Musical Structure Processing and Expectation, Presentation
  • Luiz Alexandre Martins da Costa, Article: Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands, Presentation

• 2 July 2019
  • Marcos Cotrim, Project: Music classification, Presentation
  • Carina da Silva Chear, Article: An End to End Model for Automatic Music Generation: Combining Deep Raw and Symbolic Audio Networks, Presentation

• 9 July 2019
  • Liduino Pitombeira, Article: ChordRipple - Recommending Chords to Help Novice Composers Go Beyond the Ordinary & Project: Chord accompaniment Presentation
  • Bruno Crotman, Project: Emotion recognition Presentation Code
  • Luciano da Silva Figueiredo, Article: Deep Predictive Models in Interactive Music Presentation
  • Elisabeth Cosati, Article: In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound Presentation