AUDIO-MTHRFCKR

Contribute to mimbresneuralaudiofp development by creating an account on GitHub

Full-stack song recognition application with audio fingerprinting and hum to search (QbSH) modules

Audio feature extraction for JavaScript.

A JavaScript module for searching music scores.

Master thesis Structured Auto-Encoder with application to Music Genre Recognition (report)

Tools can detect the infos of tempo beat meter Contribute to matteosooMIR_HW2 development by creating an account on GitHub

Master thesis Structured Auto-Encoder with application to Music Genre Recognition (code)

Key finder for evaluating different genres of music.

Automatically generate a music video by extracting scenes from another video

Music tagger with GUI that parses wikipedia for information. Can also download album art and lyrics.

Network Analysis of Generalized Musical Spaces Contribute to marcobnmusicntwrk development by creating an account on GitHub

Python script for analyzing and tagging music files by key and BPM maphouseanalyzetagsongs

Code for the paper Musical Voice Separation as Link Prediction Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem

An (optimized) implementation of the music DR measurement (compliant with http//dr.loudness-war.info/), it supports CUE sheets and is faster than all currently available alternatives (at the time of writing, not sure about now)

Python implementation of the Shazam algorithm Contribute to lukemcraigAudioSearch development by creating an account on GitHub

Audio-to-Score Alignment Using Deep Automatic Music Transcription

Detecting segments belonging to which song in database, and return Nil if does not exist in a database.

Generate vector embeddings for music

Multi-Modal Chorus Recognition for Improving Song Search

Audio processing by using pytorch 1D convolution network KinWaiCheuknnAudio

Demucs Lightning A PyTorch lightning version of Demucs with Hydra and Tensorboard features KinWaiCheukdemucs_lightning

PyTorch Dataset for Speech and Music audio

A semantic and technical analysis of musical scores based on Information Retrieval Principles

Awesome Datasets for Music Recommendation

Unsupervised blind source separation of mixed images and sounds with variational autoencoders jundspVAEBSS

Easily access song lyrics from Genius in a tibble.

Matlab feature extraction scripts for the Timbre Tollbox, MIR Toolbox and the Essentia Framework

Matlab implementation of the: J.R. Zapata, M. Davies and E. Gómez, "Multi-feature beat tracker," IEEE/ACM Transactions on Audio, Speech and Language Processing. 22(4), pp. 816-825, 2014"