vinceasvp / FCACLinks
Few-shot class-incremental audio classification, which can continually recognize novel audio classes without forgetting old ones
☆9Updated 2 years ago
Alternatives and similar repositories for FCAC
Users that are interested in FCAC are comparing it to the libraries listed below
Sorting:
- ☆12Updated 2 years ago
- Details of the datasets for Few-shot class-incremental audio classification☆10Updated last year
- (ICASSP 2024) Official Implementation of "Stethoscope-guided Supervised Contrastive Learning for Cross-domin Adaptation on Respiratory So…☆15Updated 6 months ago
- The code for DCASE2021 task5 submission.☆20Updated 3 years ago
- ☆26Updated 2 years ago
- Learning Domain-Invariant Transformation for Speaker Verification.☆11Updated last year
- Test-time adaptation for speech recognition model by single utterance. The official implementation of "Listen, Adapt, Better WER: Source-…☆19Updated 3 years ago
- PyTorch implementation of our work: Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning (WASPAA 2023)☆30Updated last year
- ☆26Updated 2 years ago
- Rainbow Keywords - Official PyTorch Implementation☆13Updated 11 months ago
- ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation☆26Updated last year
- A new comprehensive and diverse few-shot acoustic classification benchmark.☆64Updated 8 months ago
- ☆57Updated 11 months ago
- Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)☆67Updated 2 months ago
- ☆72Updated this week
- This repository contains the code of the CP JKU submission to DCASE23 Task 1 "Low-complexity Acoustic Scene Classification"☆28Updated last year
- This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fi…☆36Updated 10 months ago
- Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations☆91Updated 11 months ago
- Pytorch implementation of [Learning to match transient sound events using attentional similarity for few-shot sound recognition]☆33Updated 6 years ago
- ☆18Updated 4 years ago
- ☆13Updated last year
- Noisy-ArcMix: Additive Noisy Angular Margin Loss Combined With Mixup for Anomalous Sound Detection☆22Updated 9 months ago
- Autoencoder(AE) based methods for anomalous sound detection(ASD)☆13Updated 2 years ago
- A spectro-temporal fusion feature, STgram, with MobileFaceNet For more stable Anomalous Sound Detection☆90Updated 2 years ago
- ☆88Updated last year
- ☆22Updated 2 years ago
- Pytorch implementation of Extended U-Net for Speaker Verification in Noisy Environments☆28Updated last year
- ☆65Updated 8 months ago
- ☆19Updated 3 months ago
- Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.☆93Updated 2 years ago