94 Open source projects that are alternatives of or similar to da-tacos

🔉 spafe: Simplified Python Audio Features Extraction

Metadata, scripts and baselines for the MTG-Jamendo dataset

JavaScript library for music/audio analysis and processing powered by Essentia WebAssembly

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

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

Package for automatic beat-mixing of music files in Python 🐻🎚

Python audio and music signal processing library

A tutorial for using Essentia in Python

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

A C++ Library for Audio Analysis

💼 The Podcast Regional Manager

Extract elementary stream from all kinds of media files, show inside media meta information and reconstruct Transport-Stream, ISOBMFF, Matroska and MMT media files

Library and tool for dealing with beats per second detection

Functions and scripts for analyzing waveforms, primarily audio. This is currently somewhat disorganized and unfinished.

Audio Synchronization and Analysis Tool

Implementation of the EBU R128 loudness standard

Python implementation of the "Shazam" algorithm

COVID-19 Coughs files for training AI models

C library for generating audio fingerprints used by AcoustID

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

Tutorial covering Open Source tools for Source Separation.

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

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

🔬 🔈 graph-based audio engine

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

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

Chromaprint/AcoustID audio fingerprinting for the JVM

CNN-based audio segmentation toolkit. Allows to detect speech, music and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

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

Generate waveform images from audio files in iOS

A fast MDCT implementation using SciPy and FFTs

Easily access song lyrics from Genius in a tibble.

A music visualizer based on the ATMEGA328P-AU

audio toolkit. 好用的语音处理工具箱，包含语音降噪、音频格式转换、特征频谱生成等模块。

No description or website provided.

The code for the MaD TwinNet. Demo page:

Bliss music library that can compute distance between songs

End-to-end spoken language identification out of the box.

Real-time audio visualizations (spectrum, spectrogram, etc.)

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

This may become an audio feature extraction library for Rust.

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

List of articles related to deep learning applied to music

Automatic subtitle shifter based on audio

Collection of datasets used for Optical Music Recognition

TensorFlow implementation of "SoundNet".

A toolkit for symbolic music generation

FMA: A Dataset For Music Analysis

An automatic subtitle shifter from a video to another. 将字幕由一个视频匹配到另一个的自动时间轴平移工具。

🎹 symbolic musical datasets

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

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

A simple Guitar Tuner Application for Android.

Neural network to classify certain styles of Electronic music

Open Data distributed by the city of Milan in an easy to use format (GeoJSON) and some experiments

A convolutional neural network trained to recognize good* electronic 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.

Machine Learning applied to sound

A simple but powerful audio editor