The current state-of-the-art on AudioSet is CAV-MAE (Audio-Visual). See a full comparison of 11 papers with code.
Missing: carat url? q= https://
See a full comparison of 41 papers with code ... Audio Classification on AudioSet. Leaderboard ... 0.443, 0.975, 2.778. PSLA: Improving Audio Tagging with ...
Missing: carat url? q= https://
Audio tagging is a task to predict the tags of audio clips. Audio tagging tasks include music tagging, acoustic scene classification, audio event classification ...
Missing: carat url? q=
Audioset is an audio event dataset, which consists of over 2M human-annotated 10-second video clips. These clips are collected from YouTube, therefore many ...
Missing: carat q= sota/
People also ask
What is audio tagging?
How big is Audioset?
A dataset for urban sound tagging with spatiotemporal information. This dataset is aimed for the development and evaluation of machine listening systems for ...
Browse State-of-the-Art · Semantic Segmentation · Image Classification · Object Detection · Representation Learning · Contrastive Learning · Language Modelling.
Missing: carat q= tagging- audioset
Dec 21, 2019 · In this paper, we propose pretrained audio neural networks (PANNs) trained on the large-scale AudioSet ... AudioSet tagging, outperforming the ...
This repo contains code for our paper: PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition [1]. A variety of CNNs are trained ...
In order to show you the most relevant results, we have omitted some entries very similar to the 8 already displayed.
If you like, you can repeat the search with the omitted results included. |