DCASE2020 Challenge Task 2 baseline system
Code for DCASE 2020 task 1a and task 1b.
DCASE 2020 Task 2 - Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring
Audio captioning baseline system for DCASE 2020 challenge.
Participation on DCase challenge 2020 -Task 2
DD-CNN for DCASE2020-Task1-SubtaskB
Tensorflow code for DCASE2020 TASK2 Paper "ID-conditioned auto-encoder for unsupervised anomaly detection"
This repository implements Unsupervised Domain Adaptation using Cycle Self Training with PaSST feature extractors for cross-device acoustic scene classification on DCASE TAU 2020 dataset.
Hybrid ensemble (AST + classical) for industrial anomaly detection. Pump: 0.874 AUC (+7% vs baseline). Machine-specific strategy: Hybrid for Pump/Slider (0.87+), Classical for Fan/Valve (0.81+). DCASE 2020. Python 3.8+
[Spring 2025 EE488(C) AI Convergence Capstone Design] Final Project: DCASE2020 Challenge Task 2
Add a description, image, and links to the dcase2020 topic page so that developers can more easily learn about it.
To associate your repository with the dcase2020 topic, visit your repo's landing page and select "manage topics."