Pinned Repositories
MetaAudio-A-Few-Shot-Audio-Classification-Benchmark
A new comprehensive and diverse few-shot acoustic classification benchmark.
BioAcousticInference
BioAcoustic Inference, an easy tool to annotate your audio files of animal sounds using very few manual annotation as little as one.
CLRW
Self-supervised contrastive learning objective using random walk laplacian (GSP Workshop 2023)
dcase-few-shot-bioacoustic
dcase23_task5_scl
System that ranked 2nd in DCASE 2023 Challenge Task 5: Few-shot Bioacoustic Event Detection
efficient-deep-learning
Material for course "Efficient Deep Learning" at IMT Atlantique
RCL_FS_BSED
Regularized Contrastive Learning for Few-shot Bioacoustic Sound Event Detection (ICASSP 2024)
scl_icbhi2017
PyTorch implementation of our work: Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning (WASPAA 2023)
ssl4birdsounds
Self-supervised representation learning for bird sounds (ICASSPW SASB 2024)
brain-train
Routines to train standard datasets, used in BRAIn
ilyassmoummad's Repositories
ilyassmoummad/scl_icbhi2017
PyTorch implementation of our work: Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning (WASPAA 2023)
ilyassmoummad/ssl4birdsounds
Self-supervised representation learning for bird sounds (ICASSPW SASB 2024)
ilyassmoummad/dcase23_task5_scl
System that ranked 2nd in DCASE 2023 Challenge Task 5: Few-shot Bioacoustic Event Detection
ilyassmoummad/Mix2
Mix2 (Mixture of Mixups), a framework to handle multi-label and class imbalance. Experiments on AnuraSet, a dataset of anuran sounds. (EUSIPCO 2024)
ilyassmoummad/RCL_FS_BSED
Regularized Contrastive Learning for Few-shot Bioacoustic Sound Event Detection (ICASSP 2024)
ilyassmoummad/BioAcousticInference
BioAcoustic Inference, an easy tool to annotate your audio files of animal sounds using very few manual annotation as little as one.
ilyassmoummad/CLRW
Self-supervised contrastive learning objective using random walk laplacian (GSP Workshop 2023)
ilyassmoummad/dcase-few-shot-bioacoustic
ilyassmoummad/ProtoCLR
ilyassmoummad/efficient-deep-learning
Material for course "Efficient Deep Learning" at IMT Atlantique