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.
Automatic headphone equalization from frequency responses
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
An iOS and macOS audio visualization framework built upon Core Audio useful for anyone doing real-time, low-latency audio processing and visualizations.
An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.
: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
A library for audio and music analysis, feature extraction.
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
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.
Painless high-performance audio on iOS and Mac OS X
High-performance audio engine for react-native
ThreeAudio helps you create music visualizations in Three.js or tQuery.
:sound: spafe: Simplified Python Audio Features Extraction
Application of music theory in audio reactive visualizations
🎵 ID3 decoding and encoding library for Go
:notes: Library for declaratively manipulating the Web Audio API
A music player library for the PSG audio channels of the GB, GBC and GBA.
a cross-browser WebAudio player
LibXtract is a simple, portable, lightweight library of audio feature extraction functions.
A thin wrapper around the Web Audio API that takes an <audio> element and gives you its waveform/frequency data in return.