Theory, Algorithmic composition, Experimentation
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Updated
May 14, 2024 - Perl
Theory, Algorithmic composition, Experimentation
Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.
Webbook source code for ISMIR 2022 Tutorial: Computational Methods for Supporting Corpus-Based Research on Indian Art Music
MIDI / symbolic music tokenizers for Deep Learning models 🎶
Python library for opening and managing Band-in-a-Box (BIAB) files.
C++ library for audio and music analysis, description and synthesis, including Python bindings
CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
A converter framework with support for MEI, MSM, MPM, MIDI, WAV, MP3, chroma, and XSLT
Bandcamp autotagger source for beets (http://beets.io)
PyTorch implementation of cross-cultural music transfer learning
Network Analysis of Generalized Musical Spaces
Discogify is a website that uses Spotify data to find vinyl on the market of your favorite albums and artists! Currently under review by Spotify for public use and releasing soon! If you would like to try it, DM or email me, thanks :)
Project for CS 4641: Machine Learning. Classifying genres of a song from their lyrics.
A machine learning project for automated chorus detection in songs, featuring a command-line interface (CLI) tool that allows users to input a YouTube link and utilize a pre-trained CRNN model to detect chorus sections from a song on YouTube
A python package for handling modern staff notation of music
Metadata, scripts and baselines for the MTG-Jamendo dataset
AudioScape is a gui/command-line tool that allows users to download a song in MP3 format, retrieve synced lyrics, and play the song along with the synchronized lyrics display. This project is implemented using Python.
Separation models for Audio Fingerprinting
Midiexplorer is a tool to analyze and search a large database of MIDI files
A music recognition program, which uses FFT and Python's scientific modules to create and distinguish audio fingerprints of songs. Encapsulated and Abstract, the module is plug and play, in this repo I displayed the results at a website I created for this purpose
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