86 Open source projects that are alternatives of or similar to dechorder

Are you ready to FLIRT with your wearable data?

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

Automatic Music Genre Classification with Machine Learning Techniques

The code for the ISMIR 2019 paper “Supervised symbolic music style translation using synthetic data”.

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

Electrical Engineering Python Module

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

A Convolutional Neural Network based Voice Activity Detector for Smartphones

FMA: A Dataset For Music Analysis

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

A Signal Engine for a Live Code Language Ecosystem

Instructional notebooks on music information retrieval.

A digital signal processing library in Javascript

Set of *nix utilities for experimentation and learning about spectral analysis of images

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

Tutorial covering Open Source tools for Source Separation.

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

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

Metadata, scripts and baselines for the MTG-Jamendo dataset

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

Zalo AI Challenge - Music Genre Classification

🎹 symbolic musical datasets

aubio plugins for Vamp

Algorithms for matching audio file similarities. Mirror of https://git.iem.at/sciss/Strugatzki

🔉 spafe: Simplified Python Audio Features Extraction

A Dataset for Cover Song Identification and Understanding

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

A CNN which converts piano audio to a simplified MIDI format

Neural network to classify certain styles of Electronic music

基于DTW与MFCC特征进行数字0-9的语音识别，DTW，MFCC，语音识别，中英数据，端点检测，Digital Voice Recognition。

Digital Signal Processing Indicators For Market Data.

A tutorial for using Essentia in Python

Slides and Code for "An Introduction to Audio Content Analysis," also taught at Georgia Tech as MUSI-6201. This introductory course on Music Information Retrieval is based on the text book "An Introduction to Audio Content Analysis", Wiley 2012/2022

Turkish Makam Music Symbolic Data Collection

A C++ Library for Audio Analysis

Header only C++14 library containing various digital signal processing utilities.

Olaf: Overly Lightweight Acoustic Fingerprinting is a portable acoustic fingerprinting system.

Turkish-Ottoman Makam (M)usic Analysis TOolbox

List of articles related to deep learning applied to music

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

Collection of datasets used for Optical Music Recognition

Audio or speech signal processing guide.

A toolkit for symbolic music generation

A collection of 174,154 multi-track piano-rolls

Easily access song lyrics from Genius in a tibble.

#nowplaying-RS: Music Recommendation using Factorization Machines

The code for the MaD TwinNet. Demo page:

Official PyTorch implementation of Contrastive Learning of Musical Representations

Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

Genre Classification using Convolutional Neural Networks

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

A JavaScript module for searching music scores.

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.

An AI for Automatic Instrumentation

👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.

Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

OscillatorIMP ecosystem for the digital characterization of ultrastable oscillators and Software Defined Radio (SDR) frontend processing

Digital Signal Processing

Network Analysis of Generalized Musical Spaces