dcase2020

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.

DCASE2020 Challenge Task 1 baseline system

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"

DCASE2020 Challenge Task 1 submission validator

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.

Unsupervised anomaly detection for industrial machine audio (DCASE 2020 Task 2). Dense AE, Transformer-VAE, and ArcFace embeddings scored by Mahalanobis distance: from-scratch Digital Signal Processing, HuggingFace Hub model serving, Gradio app for real-time screening.

[Spring 2025 EE488(C) AI Convergence Capstone Design] Final Project: DCASE2020 Challenge Task 2

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+