A collection of utilities for Detection and Classification of Acoustic Scenes and Events
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Updated
Jun 18, 2024 - Python
A collection of utilities for Detection and Classification of Acoustic Scenes and Events
DCASE2020 Challenge Task 2 baseline system
Task 4 Large-scale weakly supervised sound event detection for smart cars
DCASE 2016 Baseline system, python implementation
ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples
Author's repository for reproducing DcaseNet, an integrated pre-trained DNN that performs acoustic scene classification, audio tagging, and sound event detection. Implemented using PyTorch.
The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data
Audio captioning baseline system for DCASE 2020 challenge.
1st place solution to the DCASE 2019 - Task 5 - Urban Sound Tagging
Autoencoder-based baseline system for DCASE2021 Challenge Task 2.
[AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.
Code for the paper "Self-Supervised Learning for Anomalous Sound Detection"
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