OpenL3: Open-source deep audio and image embeddings

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.

MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.

Code for the paper "Self-Supervised Learning for Anomalous Sound Detection"

Corpus-based concatenative synthesizer in Max for Live

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.

Deep neural network model combining audio signal processing and pre-trained audio CNN achieved 90.1% adjusted accuracy (27.6% improvement) for classifying audio recording environment.

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

Capstone Project

Accompanying code for the paper On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data.

Code for task 2 of the DCASE2024 Challenge

Implementation of the threshold-independent performance measure F1-EV for semi-supervised anomaly detection.