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

Python audio and music signal processing library

C library for generating audio fingerprints used by AcoustID

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

Automatic subtitle shifter based on audio

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.

A C++ Library for Audio Analysis

Generate waveform images from audio files in iOS

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

TensorFlow implementation of "SoundNet".

Chromaprint/AcoustID audio fingerprinting for the JVM

A simple Guitar Tuner Application for Android.

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

Metadata, scripts and baselines for the MTG-Jamendo dataset

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。

Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf

Bliss music library that can compute distance between songs

Machine Learning applied to sound

An experimental project to demonstrate how a user keyboard input may be sniffed through the pattern analysis of the sounds emitted by the keystrokes.

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

Audio Synchronization and Analysis Tool

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

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

Library and tool for dealing with beats per second detection

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

Music genre classification model using CRNN