This repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.

Structured Data from Ishkur's Guide to Electronic Music. Working Mirror for v2.5 here: https://igorbrigadir.github.io/ishkurs-guide-dataset/

[REPO] Create a music genre dataset (metadata or audio) for classification using the Spotify Web API

A CNN which converts piano audio to a simplified MIDI format

Open source library that allows you to efficiently compute audio features.

AudioLDM training, finetuning, evaluation and inference.

FPGA based USB 2.0 high speed audio interface featuring multiple optical ADAT inputs and outputs

USB Audio DAC using inexpensive STM32F411 / 401 "Black Pill" and PCM5102A modules

Code for Vision-Infused Deep Audio Inpainting (ICCV 2019)

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.

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

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

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 evanoterodeepmusicgenreclassification

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

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".

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

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

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

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