julius-richter

julius-richter's Stars

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook5.1k88660601

• haoheliu/AudioLDM

  AudioLDM: Generate speech, sound effects, music and beyond, with text.

  Language:Python2.5k44111227

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.5k53139305

• gnobitab/RectifiedFlow

  Official Implementation of Rectified Flow (ICLR2023 Spotlight)

  Language:Python1.1k112662

• baofff/U-ViT

  A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

  Language:Jupyter Notebook957122865

• facebookresearch/av_hubert

  A self-supervised learning framework for audio-visual speech

  Language:Python86515111138

• shivammehta25/Matcha-TTS

  [ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

  Language:Jupyter Notebook8291789105

• krantiparida/awesome-audio-visual

  A curated list of different papers and datasets in various areas of audio-visual processing

  68618268

• Yuan-ManX/ai-audio-datasets

  AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications.

  59614245

• sp-uhh/sgmse

  Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation

  Language:Python557126477

• researchmm/MM-Diffusion

  [CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

  Language:Python40962223

• celebv-text/CelebV-Text

  (CVPR 2023) CelebV-Text: A Large-Scale Facial Text-Video Dataset

  Language:Python394132733

• ruizhecao96/CMGAN

  Conformer-based Metric GAN for speech enhancement

  Language:Python33794760

• sihyun-yu/PVDM

  Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

  Language:Python314133716

• NVIDIA/CleanUNet

  Official PyTorch Implementation of CleanUNet (ICASSP 2022)

  Language:Python30211051

• neillu23/CDiffuSE

  Conditional Diffusion Probabilistic Model for Speech Enhancement

  Language:Python22481435

• sp-uhh/storm

  StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

  Language:Python202112426

• x4nth055/gender-recognition-by-voice

  Building a Deep learning model that predicts the gender of a speaker using TensorFlow 2

  Language:Python1157542

• RoySheffer/im2wav

  Official implementation of the pipeline presented in I hear your true colors: Image Guided Audio Generation

  Language:Python11031310

• facebookresearch/EasyComDataset

  The Easy Communications (EasyCom) dataset is a world-first dataset designed to help mitigate the *cocktail party effect* from an augmented-reality (AR) -motivated multi-sensor egocentric world view.

  1071077

• YUCHEN005/NASE

  Code for paper "Noise-aware Speech Enhancement using Diffusion Probabilistic Model"

  Language:Python77362

• ahaliassos/raven

  Official implementation of RAVEn (ICLR 2023) and BRAVEn (ICASSP 2024)

  Language:Python60995

• sukun1045/video-physics-sound-diffusion

  Language:Python45263

• sp-uhh/sgmse-bbed

  TODO

  Language:Python37228

• YangangCao/Causal-U-Net

  unofficial PyTorch implementation of 《A Causal U-net based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement》

  Language:Python33327

• hmartelb/avlit

  Official source code of the INTERSPEECH 2023 paper: "Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model" (AVLIT)

  Language:Python19261

• taketakeseijin/HarmonicLowering

  Implementation of Harmonic Convolution by Harmonic Lowering

  Language:Python17132

• sp-uhh/guided-vae-nmf

  This is the repository of the paper

  Language:Jupyter Notebook8300