Deezer source separation library including pretrained models.
- deezer
- python
- tensorflow
- audio-processing
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Deezer source separation library including pretrained models.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
A PyTorch-based Speech Toolkit
Audio synthesis, processing, & analysis platform for iOS, macOS and tvOS
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Collaborative Programmable Music
AI audio watermark removal & forensic anti-attribution toolkit. Neutralizes Suno, Udio, and neural fingerprints with ISO 226 perceptual masking.
An iOS and macOS audio visualization framework built upon Core Audio useful for anyone doing real-time, low-latency audio processing and visualizations.
A Javascript library for working with Audio. It provides a consistent API for loading and playing audio on different browsers and devices. Currently supports WebAudio, HTML5 Audio, Cordova / PhoneGap, and a Flash fallback.
:musical_keyboard: Making life easy to create a MIDI-app on the web. Includes a library to program synesthesia into your app for memory recognition or for creating trippy effects. Convert soundfonts for Guitar, Bass, Drums, ect. into code that can be read by the browser. Supports multiple simultaneous instruments and perfect timing.
C++ library for audio and music analysis, description and synthesis, including Python bindings
DDSP: Differentiable Digital Signal Processing
A library for audio and music analysis, feature extraction.
Data manipulation and transformation for audio signal processing, powered by PyTorch
This library provides common speech features for ASR including MFCCs and filterbank energies.
An advanced audio library, written in C#. Provides tons of features. From playing/recording audio to decoding/encoding audio streams/files to processing audio data in realtime (e.g. applying custom effects during playback, create visualizations,...). The possibilities are nearly unlimited.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
A Collection of Useful C++ Classes for Digital Signal Processing
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Python audio and music signal processing library
Multitrack Web Audio editor and player with canvas waveform preview. Set cues, fades and shift multiple tracks in time. Record audio tracks or provide audio annotations. Export your mix to AudioBuffer or WAV! Add effects from Tone.js. Project inspired by Audacity.
Python DSP module