Basics of Musical Instruments Classification using Machine Learning

Audio Coding Notebooks and Tutorials

the dataset used in the paper https://drive.google.com/file/d/0B4bIMgQlCAuqdGVRbVNNbzJfeUU/view

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

A data framework for music information retrieval focusing on electronic music.

DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.

Control mechanisms to the U-Net architecture for doing multiple source separation instruments

A Freesound Community Sampler

Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks

Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

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

C++ / Python library with signal processing and tempo estimation utilities.

Neural network to classify some styles of Electronic music

The code for the MaD TwinNet. Demo page:

This is the codes repository for the paper "Emotion-Guided Music Accompaniment Generation based on VAE".

Music Synthesis with Python talk, originally given at PyGotham 2017.

Classification wrappers for 4 Deep Learning Embedded Runtimes for Music Information Retrieval, plus utilities to convert a TensorFlow Model

Package for automatic beat-mixing of music files in Python

Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.

Repository for the IEEE/ACM TASLP 2023 Paper "Zero-Note Samba".

Removing background noise in a sound file

Classify audio into genres

Classifying English Music (.mp3) files using Music Information Retrieval (MIR), Digital/Audio Signal Processing (DIP) and Machine Learning (ML) Strategies

Score following algorithms component for EnsembleVR. Uses Hierarchical Hidden Markov Models and Kalman Filtering to process audio and generate accompaniment in real time

pytorch implementation of JDCNet, singing voice detection and classification network

A Machine Learning Approach of Emotional Model

Master thesis project - a hybrid Neural Network-Decision Tree system and dataset for classical music form recognition and analysis.

A convolutional neural network trained to classify emotions in singing voices.

Community list of startups working with AI in audio and music technology