Alternatives and similar repositories for eval-audio-repr:

Users that are interested in eval-audio-repr are comparing it to the libraries listed below

• haoheliu / diffres-python
  Learning differentiable temporal resolution on time-series data.
  ☆36Updated 2 years ago
• theMoro / DIRAugmentation
  Improving Recording Device Generalization using Impulse Response Augmentation
  ☆16Updated 2 weeks ago
• kkoutini / passt_hear21
  Inference code for PaSST, using the HEAR API.
  ☆32Updated last year
• lijuncheng16 / AudioTaggingDoneRight
  experiments about AudioSet
  ☆44Updated last year
• Audio-WestlakeU / audiossl
  A library built for easier audio self-supervised training, downstream tasks evaluation
  ☆117Updated 8 months ago
• fschmid56 / PretrainedSED
  ☆45Updated last month
• MorenoLaQuatra / ARCH
  ARCH: Audio Representations benCHmark
  ☆45Updated 8 months ago
• nttcslab / m2d
  Masked Modeling Duo: Towards a Universal Audio Pre-training Framework
  ☆98Updated 9 months ago
• AlanBaade / MAE-AST-Public
  Public Code for the paper MAE-AST: Masked Autoencoding Audio Spectrogram Transformer
  ☆88Updated 2 years ago
• Labbeti / conette-audio-captioning
  CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding
  ☆17Updated 4 months ago
• SarthakYadav / axlstm-official
  Official repository for the paper "Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs"
  ☆14Updated 7 months ago
• WangHelin1997 / SpecAugment-plus
  A Pytorch implementation of the paper : SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification
  ☆31Updated 3 years ago
• haoheliu / torchsubband
  Pytorch implementation of subband decomposition
  ☆92Updated 2 years ago
• SarthakYadav / audio-mamba-official
  Official implementation for our paper "Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations"
  ☆38Updated 11 months ago
• hearbenchmark / hear-eval-kit
  Evaluation kit for the HEAR Benchmark
  ☆59Updated last month
• JasonSWFu / VQscore
  ☆48Updated 5 months ago
• yzyouzhang / Audio_Research_in_US
  US-based professors who work on audio. For students who would like to apply for RA, PhD, postdoc in audio research.
  ☆25Updated last month
• Sara-Ahmed / ASiT
  ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation
  ☆26Updated last year
• nttcslab / msm-mae
  Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations
  ☆90Updated 10 months ago
• wangyu / rethink-audio-fsl
  Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)
  ☆43Updated 2 years ago
• khhungg / BSSE-SE
  Boosting Self-Supervised Embeddings for Speech Enhancement
  ☆47Updated 2 years ago
• umbertocappellazzo / PETL_AST
  This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fi…
  ☆36Updated 9 months ago
• MorenoLaQuatra / audioset-download
  This package aims at simplifying the download of the AudioSet dataset.
  ☆49Updated last year
• Neclow / SERAB
  SERAB: a multi-lingual benchmark for speech emotion recognition
  ☆28Updated 2 years ago
• SarthakYadav / fsd50k-pytorch
  Unofficial implementation of FSD50k baselines for Sound Event Recognition
  ☆26Updated last year
• CPJKU / cpjku_dcase22
  ☆18Updated 2 years ago
• etzinis / heterogeneous_separation
  Code and data recipes for the paper: Heterogeneous Target Speech Separation
  ☆41Updated 2 years ago
• WangHelin1997 / MaskSpec
  The Pytorch implementation of paper: Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training
  ☆42Updated 4 months ago
• RicherMans / PSL
  Source code for ICASSP2022 "Pseudo Strong labels for large scale weakly supervised audio tagging"
  ☆30Updated 3 years ago
• merlresearch / sebbs
  Prediction of sound event bounding boxes (SEBBs)
  ☆26Updated 9 months ago