Statistics for topic music-information-retrieval

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.

A library for audio and music analysis, feature extraction.

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

SOME: Singing-Oriented MIDI Extractor.

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

SOME: Singing-Oriented MIDI Extractor.

Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.

MIDI / symbolic music tokenizers for Deep Learning models 🎶

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

A library for audio and music analysis, feature extraction.

MIDI / symbolic music tokenizers for Deep Learning models 🎶

Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.

Unofficial PyTorch implementation of Music Source Separation with Band-split RNN

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

MIDI / symbolic music tokenizers for Deep Learning models 🎶

Metadata, scripts and baselines for the MTG-Jamendo dataset

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

List of articles related to deep learning applied to music

A library for audio and music analysis, feature extraction.

C++ library for audio and music analysis, description and synthesis, including Python bindings

FMA: A Dataset For Music Analysis

ScorePerformer: Expressive Piano Performance Rendering with Fine-Grained Control (ISMIR 2023)

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

SOME: Singing-Oriented MIDI Extractor.

Unofficial PyTorch implementation of Music Source Separation with Band-split RNN

Code for the paper "LLark: A Multimodal Foundation Model for Music" by Josh Gardner, Simon Durand, Daniel Stoller, and Rachel Bittner.

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

SOME: Singing-Oriented MIDI Extractor.

Code for the paper "LLark: A Multimodal Foundation Model for Music" by Josh Gardner, Simon Durand, Daniel Stoller, and Rachel Bittner.

Music Audio Representation Benchmark for Universal Evaluation

Unofficial PyTorch implementation of "SCNet: Sparse Compression Network for Music Source Separation"

A library for audio and music analysis, feature extraction.

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

SOME: Singing-Oriented MIDI Extractor.

C++ library for audio and music analysis, description and synthesis, including Python bindings

MIDI / symbolic music tokenizers for Deep Learning models 🎶

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

Code for the paper "LLark: A Multimodal Foundation Model for Music" by Josh Gardner, Simon Durand, Daniel Stoller, and Rachel Bittner.

SOTA kilo-scale MIDI dataset for MIR and Music AI purposes

Unofficial PyTorch implementation of Music Source Separation with Band-split RNN

Automatic Chord Recognition tools - ISMIR2021 Late-Breaking Demo presentation