The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network

Reading list for research topics in Sound AI

This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".

This is the public repository for eigenvector-based SALSA features for polyphonic sound event localization and detection.

SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow

Baseline of dcase 2019 task 4

Sound event detection with depthwise separable and dilated convolutions.

Training code of Cornell Birdcall Identification Challenge 6th place solution

Python library for rapid prototyping of environmental sound analysis systems

🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.

Author's repository for reproducing DcaseNet, an integrated pre-trained DNN that performs acoustic scene classification, audio tagging, and sound event detection. Implemented using PyTorch.

Tracking states of the arts and recent results (bibliography) on sound tasks.

Latest laughter detection & segmentaion model. Paper: "Robust Laughter Segmentation with Automatic Diverse Data Synthesis", Interspeech 2024

📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).

Language modelling for sound event detection

Easy to use Audio Tagging in PyTorch

CST-former: Transformer with Channel-Spectro-Temporal Attention for Sound Event Localization and Detection (ICASSP 2024)

An open-source package providing standardized tools for sound event analysis and data management.

Full-frequency dynamic convolution: a physical frequency-dependent convolution for sound event detection