trailblazer-bit

trailblazer-bit's Stars

• facebookresearch/audiocraft

  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.

  Language:Python20.7k2053772.1k

• fishaudio/fish-speech

  Brand new TTS solution

  Language:Python12.9k91366961

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.7k1015131.1k

• m-bain/whisperX

  WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

  Language:Python11.7k1356931.2k

• FunAudioLLM/CosyVoice

  Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

  Language:Python5.2k52397538

• crowsonkb/k-diffusion

  Karras et al. (2022) diffusion models for PyTorch

  Language:Python2.3k4265374

• Alpha-VLLM/Lumina-T2X

  Lumina-T2X is a unified framework for Text to Any Modality Generation

  Language:Python2k318486

• ming024/FastSpeech2

  An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

  Language:Python1.8k28213530

• descriptinc/descript-audio-codec

  State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

  Language:Python1.1k2775106

• marl/crepe

  CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

  Language:Python1.1k3478158

• NVIDIA/BigVGAN

  Official PyTorch implementation of BigVGAN (ICLR 2023)

  Language:Python85471097

• LTH14/mar

  PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838

  Language:Python826175241

• csteinmetz1/auraloss

  Collection of audio-focused loss functions in PyTorch

  Language:Python723173566

• jishengpeng/WavTokenizer

  SOTA discrete acoustic codec models with 40 tokens per second for audio language modeling

  Language:Python686183539

• facebookresearch/speech-resynthesis

  An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

  Language:Python383191953

• KdaiP/StableTTS

  Next-generation TTS model using flow-matching and DiT, inspired by Stable Diffusion 3

  Language:Python347232039

• v-iashin/SpecVQGAN

  Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

  Language:Jupyter Notebook34173538

• metame-ai/awesome-audio-plaza

  Daily tracking of awesome audio papers, including music generation, zero-shot tts, asr, audio generation

  31530211

• LSimon95/megatts2

  Unoffical implementation of Megatts2

  Language:Python260222035

• fishaudio/audio-preprocess

  Preprocess Audio for training

  Language:Python2338945

• descriptinc/audiotools

  Object-oriented handling of audio data, with GPU-powered augmentations, and more.

  Language:Python222281837

• OpenT2S/LlamaVoice

  LlamaVoice is a llama-based large voice generation model, providing inference and training ability.

  Language:Python21422311

• hayeong0/DDDM-VC

  Official Pytorch Implementation for "DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion" (AAAI 2024)

  Language:Python179151719

• Plachtaa/FAcodec

  Training code for FAcodec presented in NaturalSpeech3

  Language:Python16292418

• jishengpeng/TextrolSpeech

  TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models (2024 ICASSP)

  Language:Python122615

• yukara-ikemiya/friendly-stable-audio-tools

  Refactored / updated version of `stable-audio-tools` which is an open-source code for audio/music generative models originally by Stability AI.

  Language:Python1163410

• CNChTu/FCPE

  Language:Python955618

• Text-to-Audio/Make-An-Audio-3

  Make-An-Audio-3: Transforming Text/Video into Audio via Flow-based Large Diffusion Transformers

  Language:Python69533

• scutcsq/Neural-Transducers-for-Two-Stage-Text-to-Speech-via-Semantic-Token-Prediction

  Unofficial pytorch reproduction for the paper "Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction" (arXiv:2401.01498)

  Language:Python58824

• WangHelin1997/Speech-paper-crawl

  My Python scripts for crawling paper related on speech processing.

  Language:Python520