Human Emotion Classification Based on Speech Enhancement Using Neural Networks-Reference-Cited by-同舟云学术

Human Emotion Classification Based on Speech Enhancement Using Neural Networks

Published:2022 Issue: Volume: Page:35-48
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Srinivas Ch V. V. S.^ORCID,Gubbala Srilakshmi^ORCID,Lakshmi N. Durga Naga^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-0840-8_3

Reference17 articles.

1. Gupta, S., Mehra, A.: Gender specific emotion recognition through speech signals. In: International Conference on Signal Processing and Integrated Networks 2014, SPIN, pp. 727–733 (2014)

2. Gajšek, R., Mihelič, F., Dobrišek, S.: Speaker state recognition using an HMM-based feature extraction method. Comput. Speech Lang. 27(1), 135–150 (2013)

3. Li, M., Han, K.J., Narayanan, S.: Automatic speaker age and gender recognition using acoustic and prosodic level information fusion. Comput. Speech Lang. 27(1), 151–167 (2013)

4. Ooi, C.S., Seng, K.P., Ang, L.M., Chew, L.W.: A new approach of audio emotion recognition. Expert Syst. Appl. 41(13), 5858–5869 (2014)

5. Vrebčević, N., Mijić, I., Petrinović, D.: Emotion Classification Based on Convolutional Neural Network Using Speech Data. International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1007–1012 (2019)

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