- Italy, Bologna
- @loretoparisi
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Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A repository for demos illustrating features of the Web Speech API. See https://developer.mozilla.org/en-US/docs/Web/API/Web_Speech_API for more details.
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
Control adaptive filters with neural networks.
Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
Robust Speech Recognition via Large-Scale Weak Supervision
PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
Port of OpenAI's Whisper model in C/C++
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
🔊 Text-Prompted Generative Audio Model
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…
FFmpeg for browser, powered by WebAssembly
A Web-based FFProbe. Powered by FFmpeg, Vue and Web Assembly!
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.