Correction to DeepCNN: Spectro-temporal feature representation for speech emotion recognition

IF 8.4 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

CAAI Transactions on Intelligence Technology Pub Date : 2024-09-05 DOI:10.1049/cit2.12371

引用次数: 0

Abstract

Saleem, N., et al.: DeepCNN: Spectro-temporal feature representation for speech emotion recognition. CAAI Trans. Intell. Technol. 8(2), 401–417 (2023). https://doi.org/10.1049/cit2.12233.

The affiliation of Hafiz Tayyab Rauf should be [Independent Researcher, UK].

We apologise for this error.

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对DeepCNN的更正：用于语音情感识别的光谱-时间特征表示

Saleem, N., et al：DeepCNN：用于语音情感识别的时谱特征表示。CAAI Trans.Intell.Technol.8(2), 401-417 (2023)。https://doi.org/10.1049/cit2.12233.The，Hafiz Tayyab Rauf 的所属单位应为 [Independent Researcher, UK]。我们对此错误表示歉意。

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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来源期刊

CAAI Transactions on Intelligence Technology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

11.00

自引率

3.90%

发文量

134

审稿时长

35 weeks

期刊介绍： CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology. We are a fully open access journal co-published by the Institution of Engineering and Technology (IET) and the Chinese Association for Artificial Intelligence (CAAI) providing research which is openly accessible to read and share worldwide.