AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer-Reference-Cited by-同舟云学术

AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Li Kang¹,Song Yan¹,Dai Li-Rong¹,McLoughlin Ian¹,Fang Xin²,Liu Lin²

Affiliation:

1. University Of Science And Technology Of China,National Engineering Research Centre of Speech and Language Information Processing,Hefei,China

2. iFLYTEK Co. Ltd,iFLYTEK Research,Hefei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096853.pdf?arnumber=10096853

Reference25 articles.

1. Pre-training and self-training for sound event detection in domestic environments;ebbers;Tech Rep,2022

2. Audio Set: An ontology and human-labeled dataset for audio events

3. PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

4. Pretrained models in sound event detection for dcase 2022 challenge task4;xiao;Tech Rep,2022

5. Convolution augmented transformer for semi-supervised sound event detection;miyazaki;Proc Workshop Detection Classification Acoust Scenes Events (DCASE),2020

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