#Audio-processing
Showing 60 of 99 repositories tagged #audio-processing, ranked by stars
Cross-platform, customizable ML solutions for live and streaming media.
Deezer source separation library including pretrained models.
A PyTorch-based Speech Toolkit
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
macOS System-wide Audio Equalizer & Volume Mixer 🎧
🎛 🔊 A Python library for audio.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
An implementation of Shazam's song recognition algorithm.
A library for audio and music analysis, feature extraction.
Isolate vocals, drums, bass, and other instrumental stems from any song
:musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi
List of articles related to deep learning applied to music
Data manipulation and transformation for audio signal processing, powered by PyTorch
The collection of pre-trained, state-of-the-art AI models for ailia SDK
A little package that brings sound to any Go application. Suitable for playback and audio-processing.
LedFx is a network based LED effect engine designed to deliver advanced real-time audio effects to a wide variety of devices.
File processing for privacy-focussed use. 200+ tools for Image, Video, Audio, PDF, and Files. AI-powered, open source, airgap ready. Your files stay yours.
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Arcan - [Display Server, Multimedia Framework, Game Engine] -> "Desktop Engine"
OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX backend, 400+ tok/s. Works with Claude Code.
My curated list of audio DSP and plugin development resources (Github fork)
SincNet is a neural architecture for efficiently processing raw audio samples.
Audio processing by using pytorch 1D convolution network
A Framework for Speech, Language, Audio, Music Processing with Large Language Model
Implementation of the Wave-U-Net for audio source separation
🎵 [Android Library] A light-weight and easy-to-use Audio Visualizer for Android.
:guitar: A maestro of pitch detection.
High-performance audio engine for react-native
AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and other models, one-click batch intelligent processing of pictures, videos, audio, etc.
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
A C++ based, lightweight music and noise remover for YouTube and other internet media, using DeepFilterNet for audio enhancement.
⏩ Fast-forwards long pauses between sentences — watch lectures ~1.5x faster (browser extension)
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
Audio Development Tools (ADT) is a project for advancing sound, speech, and music technologies, featuring components for machine learning, sound synthesis, speech and music generation, signal processing, game audio, digital audio workstations (DAWs), and more.
A shazam like tool to store fingerprints and retrieve them
Understanding emotions from audio files using neural networks and multiple datasets.
Flutter low-level audio plugin using SoLoud C++ library and FFI
Encode an image to sound and view it as a spectrogram - turn your images into music
Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".
A high-performance Fast Fourier Transform (FFT) library written in pure and safe Rust.
[EMNLP2024 Demo], [ICASSP 2025], [ICASSP 2026] A user-friendly library for reproducible video moment retrieval and highlight detection. It also supports audio moment retrieval.
an architecture for neural network inference in real-time audio applications
A collection of Audio and Speech pre-trained models.
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
Lean neural real-time acoustic echo cancellation with soft delay estimation - GGML and PyTorch inference
Fork of the original FFmpeg Kit library to work with Android V2 bindings and Flutter 3+
MARCELO: an AI powered bot to automate the editing and thumbnail creation for your Youtube clips channel
A universal AI toolkit for high-performance Speech-to-Text (STT) and Text-to-Speech (TTS) processing, designed for low-latency and easy model integration.
autoupdate paper list
A low latency guitar amp simulator.
🎶 dead simple audio classification
WhisperClip simplifies your life by automatically transcribing audio recordings and saving the text directly to your clipboard. With just a click of a button, you can effortlessly convert spoken words into written text, ready to be pasted wherever you need it. This application harnesses the power of OpenAI’s Whisper for free.
Audio classification with VGGish as feature extractor in TensorFlow
A lookahead compressor/limiter that's soft as a lamb.
Neural networks for guitar amp/pedal emulation on Daisy Seed
Sound-based Bird Classification - using AI, acoustics and ornithology to classify birds in the environment, an environmental awareness project (Web Application, Flask, Python)
Maolan DAW
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
List of articles related to deep learning applied to music
Digital Multi-Effect Pedal with Reverb, Delay, Tremolo, Looper, and Neural Networks for Amp Modeling