大型语言模型能帮助标注语音情感数据吗？开拓新领域[研究前沿]

IF 10.3 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Computational Intelligence Magazine Pub Date : 2025-01-17 DOI:10.1109/mci.2024.3504833

Siddique Latif, Muhammad Usama, Muhammad Ibrahim Malik, Björn W. Schuller

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers [Research Frontier]

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来源期刊

IEEE Computational Intelligence Magazine 工程技术-计算机：人工智能

CiteScore

14.50

自引率

3.30%

发文量

审稿时长

>12 weeks

期刊介绍： The IEEE Computational Intelligence Magazine (CIM) is a peer-reviewed publication that focuses on computational intelligence design and applications. It aims to present emerging novel discoveries, important insights, and tutorial surveys in this field. CIM serves as a means of communication between the governing body and members of the IEEE Computational Intelligence Society (IEEE/CIS). The magazine encourages authors to submit papers on various topics, including applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research. Contributions should contain novel and previously unpublished material. The novelty can be in the form of original concepts, results, techniques, observations, hardware/software implementations, or applications. Syntheses or new insights into previously reported research are also welcomed. Surveys and expository submissions are highly encouraged. Generally, material that has been previously copyrighted, published, or accepted for publication will not be considered for publication in CIM. However, prior preliminary or abbreviated publication of the material will not necessarily preclude publication in this journal.