Capstone Project

Code for using with the Clotho dataset

Sound event detection with depthwise separable and dilated convolutions.

Harmony and Timbre-Oriented MIR Framework

Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance

MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.

Autoencoder-based baseline system for DCASE2021 Challenge Task 2.

Codes related to DCASE2021 Task 1 - Acoustic Scene Classification

A library for soundscape synthesis and augmentation

Codes related to acoustic scene classification task for DCASE 2022

Identify a wide variety of bird vocalizations in soundscape recordings

DCASE2020 Challenge Task 2 baseline system

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.

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)

OpenL3: Open-source deep audio and image embeddings

Audio captioning baseline system for DCASE 2020 challenge.

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

Accompanying code for the paper Design Choices for Learning Embeddings from Auxiliary Tasks for Domain Generalization in Anomalous Sound Detection.

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

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