Emotion Recognition from Speech Using Deep Neural Network-Reference-Cited by-同舟云学术

Emotion Recognition from Speech Using Deep Neural Network

Published:2021 Issue: Volume: Page:3-39
ISSN:2522-8595
Container-title:EAI/Springer Innovations in Communication and Computing
language:
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Author:

Juyal Stuti,Killa Chirag,Singh Gurvinder Pal,Gupta Nishant,Gupta Vedika

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76167-7_1

Reference45 articles.

1. Vogt, T., André, E., & Wagner, J. (2008). Automatic recognition of emotions from speech: a review of the literature and recommendations for practical realization. In Affect and emotion in human-computer interaction (pp. 75-91). Springer, Berlin, Heidelberg.

2. Wang, K., An, N., Li, B. N., Zhang, Y., & Li, L. (2015). SER using Fourier parameters. IEEE Transactions on Affective Computing, 6(1), 69-75.

3. Z. Xiao, E. Dellandrea, W. Dou, and L. Chen, "Features extraction and selection for emotional speech classification," in Advanced Video and Signal Based Surveillance, 2005. AVSS 2005. IEEE Conference on, 2005, pp. 411–416.

4. Dave, N. (2013). Feature extraction methods LPC, PLP and MFCC in speech recognition. International Journal for Advance Research in Engineering and Technology, 1(6), 1-4.

5. Abrilian, S., Devillers, L., Buisine, S., & Martin, J. C. (2005). EmoTV1: Annotation of real-life emotions for the specification of multimodal affective interfaces. In 11th International Conference on Human-Computer Interaction (HCI 2005) (pp. 195–200). Las Vegas, Nevada, USA.

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