There are 47 repositories under audio-analysis topic.
SoftVC VITS Singing Voice Conversion
Voice data <= 10 mins can also be used to train a good VC model!
A library for audio and music analysis, feature extraction.
Generate waveform images from audio files on iOS, macOS & visionOS in Swift. Native SwiftUI & UIKit views.
C library for generating audio fingerprints used by AcoustID
PipeWire Guide. Learn about how PipeWire gives your Linux system a Professional Audio/Video Processing workflow.
My curated list of audio DSP and plugin development resources
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
NSMusicSοΌNine Songs Β· Music WorldοΌοΌMulti platform Multi mode Super Music Software (Full stack development, audio processing, artificial intelligence, natural language processing)
JavaScript library for music/audio analysis and processing powered by Essentia WebAssembly
High-resolution real-time graphic audio spectrum analyzer JavaScript module with no dependencies.
:sound: spafe: Simplified Python Audio Features Extraction
Metadata, scripts and baselines for the MTG-Jamendo dataset
Functions and scripts for analyzing waveforms, primarily audio. This is currently somewhat disorganized and unfinished.
Machine Learning applied to sound
A collection of algorithms to determine the pitch of a sound sample.
TensorFlow implementation of "SoundNet".
A simple Guitar Tuner Application for Android.
Guitar tuner program made with Python, Tkinter and PyAudio.
Audio Synchronization and Analysis Tool
One audio player built with ReactJS, Web Audio API and Web Worker API
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
Package for automatic beat-mixing of music files in Python π»π
A rust / webassembly / react app to detect the pitch of audio signals in real time
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
π Create labeled datasets, enhance audio quality, identify speakers, support diverse dataset types. π§π₯π Advanced audio processing.
Chromaprint/AcoustID audio fingerprinting for the JVM