The project focuses on automatic music generation. It was done during Bachelor Thesis at VGU in 2023.
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Updated
Oct 21, 2023 - Jupyter Notebook
The project focuses on automatic music generation. It was done during Bachelor Thesis at VGU in 2023.
LSTM-Based Music Generator
AI Powered Music Generation
This Repository contains the Music Dataset related to Three different Instruments and these three music are extracted from one single music clip. This dataset will be utilized in building Music Remixing Applications and Instruments Music extractions.
Symbolic music generation of Bach chorales
Generating MIDI files by AI, using piano notes database and librairies such as music21
Here I have done various feature extractions upon audio samples, and this repository also contains all the work I have done in audio analysis. The aim of this repository is to host the methods need in other audio-analysis-projects that I would be doing hence forward.
Music generation using a Long Short-Term Memory (LSTM) neural network. The gennhausser project uses TensorFlow and music21 libraries to create a synthetic dataset, train an LSTM model, and generate music sequences.
Symbolic music generation using multi agent systems
Generate Piano music using LSTM-based musical model.
Developed a music generation deep learning model using WGAN-GP and self-attention, aimed at creating melodic compositions.
A pytorch Implementation of VAE-based musical model to generate and interpolate piano'notes using Nottingham dataset.
Algorithmic and AI MIDI Drums Generator Implementation
[DEPRECEATED] Morpheus Music AI implementation spin-off :)
Code and demo for paper: Zhao et al., "Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement," IJCAI 2023
Multi-Instrument music generation using C-RNN-GAN with MIDI format input 🎼
This is a cog implementation of the fine-tuner for Meta's MusicGen
Chord conditioning implemented MusicGen
A Bach music generator with Artificial Intelligence. This model is made by a VQ-VAE + Transformer (decoder-only). Sequences of midi 1 quarter length are compressed into 16 codebooks via VQ-VAE and a transformer learns how to generate the codebooks sequence to obtain a midi score.
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