WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research-Reference-Cited by-同舟云学术

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

Published:2024 Issue: Volume:32 Page:3339-3354
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Mei Xinhao¹^ORCID,Meng Chutong²^ORCID,Liu Haohe¹^ORCID,Kong Qiuqiang³,Ko Tom⁴,Zhao Chengqi⁴,Plumbley Mark D.¹^ORCID,Zou Yuexian⁵^ORCID,Wang Wenwu¹^ORCID

Affiliation:

1. Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.

2. Johns Hopkins University, Baltimore, MD, USA

3. The Chinese University of Hong Kong, Hong Kong, SAR, China

4. ByteDance, Beijing, China

5. School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6570655/10304349/10572302.pdf?arnumber=10572302

Reference96 articles.

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

2. ESC

3. FSD50K: an Open Dataset of Human-Labeled Sound Events

4. Weakly Labelled AudioSet Tagging With Attention Neural Networks

5. Sound Event Detection: A tutorial

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