289 Open source projects that are alternatives of or similar to Music-Genre-Classification

Some dsp to make songs "8D"

Python audio and music signal processing library

Genre Classification using Convolutional Neural Networks

The code for the MaD TwinNet. Demo page:

List of articles related to deep learning applied to music

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 Java program to implement a DMTF Decoder.

🔉 spafe: Simplified Python Audio Features Extraction

Zalo AI Challenge - Music Genre Classification

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

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

A standalone audio rendering software for time domain and spectral signal processing.

Converter of .TAP files (a ZX-Spectrum emulator data format) into .WAV sound files

A convenient way of processing digital signals in F#

📣 A stream-friendly wrapper around SoX

Beatmup: image and signal processing library

A JavaScript module for searching music scores.

Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018

golang .wav reader and writer

gr-eventstream is a set of GNU Radio blocks for creating precisely timed events and either inserting them into, or extracting them from normal data-streams precisely. It allows for the definition of high speed time-synchronous c++ burst event handlers, as well as bridging to standard GNU Radio Async PDU messages with precise timing easily.

ICASSP 2019 official Latex template

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

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

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

Empirical wavelet transform (EWT) in Python

An extended TSP (Time Stretched Pulse). CAPRICEP substantially replaces FVN. CAPRICEP enables interactive and real-time measurement of the linear time-invariant, the non-linear time-invariant, and random and time varying responses simultaneously.

My collection of implementations of adaptive filters.

microblx: real-time, embedded, reflective function blocks.

A collection of Java classes for Digital Signal Processing

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

United Open-libraries of Sound. United procedures for open-source audio libraries. For FPC/Lazarus/fpGUI/MSEgui.

Neural network to classify certain styles of Electronic music

Miscellaneous methods for: astronomy, dealing with arrays, statistical distributions, computing goodness-of-fit, numerical simulations and much more

ESP32 Music Player with simple code in arduino-esp32 (I2S interface)

A powerful and efficient library to record WAVE form audio files (WAV) in Android

Collection of auditory models.

Notebook series on interesting topics in computer vision

Graphical User Interace built around youtube-dl CLI

Fourier and Images

High Performance Computing (HPC) and Signal Processing Framework

Compute interstation correlations of seismic ambient noise, including fast implementations of the standard, 1-bit and phase cross-correlations.

⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…

Pytorch implementation of subband decomposition

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

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

Toy audio synthesizer library in Rust with basic MIDI support.

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

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Audio rendering software, based on UGen graphs. Issue tracker: https://codeberg.org/sciss/FScape-next/issues

Official PyTorch implementation of Contrastive Learning of Musical Representations

A Python package for automatic earthquake detection and location using waveform migration and stacking.

🎓 "Digital audio-watermarking for analog transmission channels", 2014, Bachelor Thesis, TU Wien

Computational Neuroscience Crash Course (CNCC 2019)

Fast and easy to understand Arduino library to use the DFPlayer Mini MP3 module from DFRobot.com. This is a huge improvement (both in terms of execution speed and simplicity) to the standard library provided by DFRobot.com.

A python script that takes an input MP3/FLAC and outputs an acapella/background noise stripped WAV using the power of NVIDIA's RTX Voice

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

Apollo is a Open-Source music player for playback and organization of audio files on Microsoft Windows, built using Python.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector