A library for soundscape synthesis and augmentation
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Updated
May 4, 2022 - Python
A library for soundscape synthesis and augmentation
DCASE2020 Challenge Task 2 baseline system
Sound event detection with depthwise separable and dilated convolutions.
Audio captioning baseline system for DCASE 2020 challenge.
Autoencoder-based baseline system for DCASE2021 Challenge Task 2.
Code for the paper "Self-Supervised Learning for Anomalous Sound Detection"
MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.
Submission for task 2 "First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring" of the DCASE challenge 2023 (https://dcase.community/challenge2023/task-first-shot-unsupervised-anomalous-sound-detection-for-machine-condition-monitoring)
Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
Accompanying code for the paper Design Choices for Learning Embeddings from Auxiliary Tasks for Domain Generalization in Anomalous Sound Detection.
Codes related to DCASE2021 Task 1 - Acoustic Scene Classification
Code for using with the Clotho dataset
Codes related to acoustic scene classification task for DCASE 2022
Accompanying code for the paper On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data.
Code for the paper "AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks"
Implementation of the threshold-independent performance measure F1-EV for semi-supervised anomaly detection.
Harmony and Timbre-Oriented MIR Framework
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