choihk6610

choihk6610's Stars

• Labbeti/aac-datasets

  Audio Captioning datasets for PyTorch.

  Language:Python1106

• clovaai/ClovaCall

  ClovaCall dataset and Pytorch LAS baseline code (Interspeech 2020)

  Language:Python22056

• YuanGongND/ltu

  Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

  Language:Python40038

• facebookresearch/flow_matching

  A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

  Language:Python1.7k67

• modelscope/ClearerVoice-Studio

  An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

  Language:Python1.9k138

• SYSTRAN/faster-whisper

  Faster Whisper transcription with CTranslate2

  Language:Python13.3k1.1k

• BytedanceSpeech/seed-tts-eval

  Language:Python1.1k109

• snakers4/silero-vad

  Silero VAD: pre-trained enterprise-grade Voice Activity Detector

  Language:Python4.7k453

• MahmoudAshraf97/whisper-diarization

  Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

  Language:Jupyter Notebook4k355

• fakufaku/fast_bss_eval

  A fast implementation of bss_eval metrics for blind source separation

  Language:Python1328

• snakers4/silero-models

  Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

  Language:Jupyter Notebook5.1k324

• nomadkaraoke/python-audio-separator

  Easy to use stem (e.g. instrumental/vocals) separation from CLI or as a python package, using a variety of amazing pre-trained models (primarily from UVR)

  Language:Python57194

• SWivid/F5-TTS

  Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"

  Language:Python8.8k1.1k

• xingchensong/S3Tokenizer

  Reverse Engineering of Supervised Semantic Speech Tokenizer (S3Tokenizer) proposed in CosyVoice

  Language:Python22430

• siyuhuang/QuantArt

  Official PyTorch implementation of QuantArt (CVPR2023)

  Language:Python1006

• haoheliu/versatile_audio_super_resolution

  Versatile audio super resolution (any -> 48kHz) with AudioSR.

  Language:Python1.2k126

• kyutai-labs/moshi

  Language:Python7.1k555

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.9k1.7k

• webdataset/webdataset

  A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

  Language:Python2.4k193

• fishaudio/fish-speech

  SOTA Open Source TTS

  Language:Python18.2k1.4k

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.7k943

• NeuralVox/OpenPhonemizer

  An espeak-compatible, permissively-licensed IPA phonemizer (G2P) based on DeepPhonemizer. Usable as a drop-in replacement for espeak's GPL phonemizer.

  Language:Python885

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML26k4.7k

• jinwonkim93/transformer-tts

  Language:Python1

• Rikorose/DeepFilterNet

  Noise supression using deep filtering

  Language:Python2.6k244

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook36.6k4.3k

• facebookresearch/svoice

  We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

  Language:Python1.3k186

• MoonInTheRiver/DiffSinger

  DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

  Language:Python4.4k722

• ex3ndr/supervoice-vall-e-2

  VALL-E 2 reproduction

  Language:Jupyter Notebook10814

• joonaskalda/PixIT

  Companion repo for the paper "PixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings" published at Odyssey 2024

  Language:Python633