raymin0223 / patch-mix_contrastive_learning
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)
☆65Updated 2 weeks ago
Alternatives and similar repositories for patch-mix_contrastive_learning:
Users that are interested in patch-mix_contrastive_learning are comparing it to the libraries listed below
- PyTorch implementation of our work: Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning (WASPAA 2023)☆29Updated last year
- ☆85Updated last year
- Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations☆90Updated 9 months ago
- (ICASSP 2024) Official Implementation of "Stethoscope-guided Supervised Contrastive Learning for Cross-domin Adaptation on Respiratory So…☆13Updated 3 months ago
- This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".☆124Updated 5 months ago
- Baseline method for audio-visual sound event localization and detection task of DCASE 2023 challenge☆51Updated last week
- ☆62Updated 6 months ago
- This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fi…☆36Updated 7 months ago
- ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation☆26Updated last year
- (NeurIPS 2023 Workshop on DGM4H) Official Implementation of "Adversarial Fine-tuning using Generated Respiratory Sound to Address Class I…☆17Updated 3 months ago
- A library built for easier audio self-supervised training, downstream tasks evaluation☆115Updated 7 months ago
- Learning differentiable temporal resolution on time-series data.☆36Updated 2 years ago
- Masked Modeling Duo: Towards a Universal Audio Pre-training Framework☆89Updated 7 months ago
- The code for DCASE2021 task5 submission.☆20Updated 3 years ago
- ☆83Updated last year
- ☆31Updated 4 months ago
- Code repo for "Multi-Task Learning for Interpretable Weakly Labelled Sound Event Detection"☆16Updated 2 years ago
- PyTorch implementation of the LEAF audio frontend☆69Updated 2 years ago
- ☆36Updated last week
- This repository contains the code of the CP JKU submission to DCASE23 Task 1 "Low-complexity Acoustic Scene Classification"☆27Updated last year
- Public Code for the paper MAE-AST: Masked Autoencoding Audio Spectrogram Transformer☆87Updated 2 years ago
- code for sound event detection transformer (SEDT) and self-supervised pre-training SEDT (SP-SEDT)☆41Updated 2 years ago
- Pytorch implementation of Extended U-Net for Speaker Verification in Noisy Environments☆28Updated last year
- COG-MHEAR Audio-Visual Speech Enhancement Challenge☆34Updated this week
- A new comprehensive and diverse few-shot acoustic classification benchmark.☆62Updated 6 months ago
- ☆25Updated 2 years ago
- Learning Domain-Invariant Transformation for Speaker Verification.☆11Updated last year
- AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection, ICASSP 2023☆26Updated last month
- Data generator for creating synthetic audio mixtures suitable for DCASE Challenge 2022 Task 3☆34Updated last year
- Baseline method for sound event localization task of DCASE 2022 challenge☆54Updated 2 years ago