kevinco27 / attentional-similarity
Pytorch implementation of [Learning to match transient sound events using attentional similarity for few-shot sound recognition]
☆32Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for attentional-similarity
- PyTorch Implementation of SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification, a…☆21Updated 5 years ago
- ☆19Updated 5 years ago
- A pytorch implementation of the paper : Acoustic Scene Classification with Multiple Decision Schemes.☆20Updated 3 years ago
- Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.☆93Updated last year
- ☆20Updated 5 years ago
- Jupyter notebook for DCASE 2020 challenge Task 1☆19Updated 4 years ago
- DCASE2019 Challenge Task 1 baseline system☆20Updated 5 years ago
- Official Implementation of SERIL in Pytorch☆26Updated 4 years ago
- Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)☆41Updated 2 years ago
- Addressing the confounds of accompaniments in singer identification☆18Updated 4 years ago
- ☆53Updated 4 years ago
- Source code for publication: "Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices"☆11Updated 2 years ago
- DCASE2020 Challenge Task 1 baseline system☆25Updated 4 years ago
- ☆49Updated 4 months ago
- Pytorch implementation of the paper : Modeling Label Dependencies for Audio Tagging with Graph Convolutional Network☆14Updated 4 years ago
- Unsupervised Representation Learning for Singing Voice Separation☆21Updated last year
- The code for DCASE2021 task5 submission.☆20Updated 2 years ago
- experiments about AudioSet☆43Updated last year
- Author's repository for reproducing DcaseNet, an integrated pre-trained DNN that performs acoustic scene classification, audio tagging, a…☆40Updated 3 years ago
- A new comprehensive and diverse few-shot acoustic classification benchmark.☆60Updated last month
- CP-JKU submission to DCASE 19, performant single-model CNN☆57Updated 4 years ago
- Source code for ICASSP2022 "Pseudo Strong labels for large scale weakly supervised audio tagging"☆30Updated 2 years ago
- Contains code for Deep Self Supervised Heirarchical Clustering for Speaker Diarization☆16Updated 2 years ago
- ☆17Updated 3 years ago
- Pytorch implementation of the paper : A Global-local Attention Framework for Weakly Labelled Audio Tagging.☆13Updated 3 years ago
- Code for the paper: "Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information"☆21Updated 3 years ago
- System that ranks 2nd in DCASE 2022 Challenge Task 5: Few-shot Bioacoustic Event Detection☆27Updated 2 years ago
- Sound event detection with depthwise separable and dilated convolutions.☆53Updated 4 years ago
- An audio classification system for learning with out-of-distribution data☆33Updated last year
- The Pytorch implementation of paper: Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training☆39Updated last year