Speech Emotion Recognition: An Empirical Analysis of Machine Learning Algorithms Across Diverse Data Sets-Reference-Cited by-同舟云学术

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Speech Emotion Recognition: An Empirical Analysis of Machine Learning Algorithms Across Diverse Data Sets

Published:2024 Issue: Volume: Page:32-46
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:en
Short-container-title:

Author:

Ahammed Mostafiz^ORCID,Sheikh Rubel^ORCID,Hossain Farah,Liza Shahrima Mustak,Rahman Muhammad Arifur^ORCID,Mahmud Mufti^ORCID,Brown David J.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-68639-9_3

Reference50 articles.

1. Savee dataset, 10 December 2020. http://kahlan.eps.surrey.ac.uk/savee/Download.html

2. Sjtu Chinese emotional dataset, 12 December 2020. https://bcmi.sjtu.edu.cn/home/seed/

3. Emo-db dataset, 15 December 2020. http://emodb.bilderbar.info/docu/

4. How to make a speech emotion recognizer using python, 26 December 2020. https://www.thepythoncode.com/article/building-a-speech-emotion-recognizer-using-sklearn

5. Ravdess dataset, 5 December 2020. http://zenodo.org/record/1188976

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