Alternatives and similar repositories for VGGSound:

Users that are interested in VGGSound are comparing it to the libraries listed below

• YuanGongND / cav-mae
  Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".
  ☆248Updated last year
• harritaylor / torchvggish
  Pytorch port of Google Research's VGGish model used for extracting audio features.
  ☆384Updated 3 years ago
• rhgao / co-separation
  Co-Separating Sounds of Visual Objects (ICCV 2019)
  ☆94Updated last year
• afourast / avobjects
  Implementation for ECCV20 paper "Self-Supervised Learning of audio-visual objects from video"
  ☆113Updated 4 years ago
• facebookresearch / AudioMAE
  This repo hosts the code and models of "Masked Autoencoders that Listen".
  ☆574Updated 11 months ago
• hche11 / Localizing-Visual-Sounds-the-Hard-Way
  Localizing Visual Sounds the Hard Way
  ☆78Updated 2 years ago
• ekazakos / auditory-slow-fast
  Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
  ☆72Updated 3 years ago
• qiuqiangkong / audioset_classification
  ☆225Updated 5 years ago
• facebookresearch / VisualVoice
  Audio-Visual Speech Separation with Cross-Modal Consistency
  ☆228Updated last year
• YapengTian / AVE-ECCV18
  Audio-Visual Event Localization in Unconstrained Videos, ECCV 2018
  ☆179Updated 3 years ago
• nttcslab / byol-a
  BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
  ☆210Updated last year
• tcvrick / audioset-vggish-tensorflow-to-pytorch
  Script for converting the pretrained VGGish model provided with AudioSet from TensorFlow to PyTorch, along with a basic smoke test.
  ☆86Updated 5 years ago
• kkoutini / PaSST
  Efficient Training of Audio Transformers with Patchout
  ☆326Updated last year
• YuanGongND / ssast
  Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".
  ☆378Updated 2 years ago
• ardasnck / learning_to_localize_sound_source
  Codebase and Dataset for the paper: Learning to Localize Sound Source in Visual Scenes
  ☆88Updated 3 months ago
• XinhaoMei / WavCaps
  This reporsitory contains metadata of WavCaps dataset and codes for downstream tasks.
  ☆218Updated 8 months ago
• speedyseal / audiosetdl
  Scripts for download AudioSet
  ☆72Updated 7 years ago
• AndreyGuzhov / ESResNeXt-fbsp
  Source code for models described in the paper "ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio" (https://arxiv.o…
  ☆46Updated 3 years ago
• facebookresearch / EasyComDataset
  The Easy Communications (EasyCom) dataset is a world-first dataset designed to help mitigate the *cocktail party effect* from an augmente…
  ☆111Updated last year
• danmic / av-se
  Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
  ☆205Updated last year
• Spijkervet / torchaudio-augmentations
  Audio transformations library for PyTorch
  ☆230Updated 2 years ago
• descriptinc / lyrebird-wav2clip
  Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP
  ☆338Updated 3 years ago
• facebookresearch / AVID-CMA
  Audio Visual Instance Discrimination with Cross-Modal Agreement
  ☆128Updated 3 years ago
• aoifemcdonagh / audioset-processing
  Toolkit for downloading and processing Google's AudioSet dataset.
  ☆167Updated last year
• GeWu-Lab / awesome-audiovisual-learning
  A curated list of audio-visual learning methods and datasets.
  ☆252Updated 3 months ago
• YuanGongND / psla
  Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".
  ☆143Updated last year
• fuankarion / active-speakers-context
  Code for the Active Speakers in Context Paper (CVPR2020)
  ☆54Updated 3 years ago
• EGO4D / audio-visual
  ☆63Updated 2 years ago
• Kikyo-16 / Sound_event_detection
  This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: sp…
  ☆128Updated 4 years ago
• akoepke / audio-retrieval-benchmark
  Implementation of "Audio Retrieval with Natural Language Queries: A Benchmark Study".
  ☆51Updated 2 years ago