Speech Emotion Recognition Based on Deep Learning

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration
Subtitle of host publication“Tech-Biz Intelligence”
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-6654-5095-9
ISBN (Print)978-1-6654-5096-6
Publication statusPublished - Nov 2022

Publication series

Name
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Title2022 IEEE Region 10 Conference (TENCON 2022)
LocationHybrid
PlaceHong Kong
Period1 - 4 November 2022

Abstract

We propose a wav2vec based speech emotion detection framework, combining features from pretrained models with neural or traditional classifiers and achieves the best performance compared with other baselines, and conduct result analysis.

Research Area(s)

  • Speech emotion recognition, deep learning, feature extraction, classifier

Citation Format(s)

Speech Emotion Recognition Based on Deep Learning. / LIU, Mingyang; KE, Yaxin; ZHANG, Yichen et al.

2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration: “Tech-Biz Intelligence”. Institute of Electrical and Electronics Engineers, 2022.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review