ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples
-
Updated
May 15, 2019 - Jupyter Notebook
ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples
Language modelling for sound event detection
Sound event detection with depthwise separable and dilated convolutions.
A Sweet Sound Event Localization and Detection like Tiramisu Cake in Tensorflow 2
SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow
Training code of Cornell Birdcall Identification Challenge 6th place solution
📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).
A repo for CS4347 group project on sound event detection.
Sound Event Detection with YAMNet on Jetson Nano
Sound Event Detection with YAMNet+tw on Raspberry Pi
An audio deep learning mini-lesson from the 2021 DAT/Artathon fellowship.
Few-Shot Sound Event Detection from Justin Salamon paper's "Few-Shot Sound Event Detection". Implementation of Relation Network and Prototypical Network.
Easy to use Audio Tagging in PyTorch
A SuperCollider instrument for autonomous embedded audio recording, generative sound, and musical performance.
Multimodal Evaluation for Sound Event Detection (SED)
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.
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.
Python library for rapid prototyping of environmental sound analysis systems
This is the public repository for eigenvector-based SALSA features for polyphonic sound event localization and detection.
Baseline of dcase 2019 task 4
Add a description, image, and links to the sound-event-detection topic page so that developers can more easily learn about it.
To associate your repository with the sound-event-detection topic, visit your repo's landing page and select "manage topics."