Fractal-Based Speech Emotion Detection Using CNN-Reference-Cited by-同舟云学术

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Fractal-Based Speech Emotion Detection Using CNN

Published:2021 Issue: Volume: Page:741-755
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Borwankar Saumya,Dogra Manmohan,Verma Jai Prakash

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2709-5_56

Reference30 articles.

1. Abdul-Hadi MH, Waleed J (2020) Human speech and facial emotion recognition technique using svm. In: 2020 international conference on computer science and software engineering (CSASE). IEEE, pp 191–196

2. Albornoz EM, Milone DH, Rufiner HL (2011) Spoken emotion recognition using hierarchical classifiers. Comput Speech Lang 25(3):556–570

3. Badshah AM, Ahmad J, Rahim N, Baik SW (2017) Speech emotion recognition from spectrograms with deep convolutional neural network. In: 2017 international conference on platform technology and service (PlatCon). IEEE, pp 1–5

4. Basu S, Chakraborty J, Aftabuddin M (2017) Emotion recognition from speech using convolutional neural network with recurrent neural network architecture. In: 2017 2nd international conference on communication and electronics systems (ICCES). IEEE, pp 333–336

5. Bittner RM, McFee B, Salamon J, Li P, Bello JP (2017) Deep salience representations for f0 estimation in polyphonic music. In: ISMIR, pp 63–70

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Application Programming Interface to Recognize Emotion using Speech Features;2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI);2022-12-17

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