Speech emotion recognition based on multi‐feature and multi‐lingual fusion-Reference-Cited by-同舟云学术

Speech emotion recognition based on multi‐feature and multi‐lingual fusion

Published:2021-08-28 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wang Chunyi,Ren Ying,Zhang Na,Cui Fuwei,Luo Shiying

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-021-10553-4.pdf

Reference25 articles.

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2. Bertero D, Fung P (2017) A first look into a Convolutional Neural Network for speech emotion detection. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, pp 5115–5119. https://doi.org/10.1109/ICASSP.2017.7953131

3. Busso C, Bulut M, Lee CC et al (2008) IEMOCAP: interactive emotional dyadic motion capture database. Lang Resour Eval 42(4):335–359

4. Davis SB (1980) Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans Acoust Speech Signal Process 28(4):65–74. https://doi.org/10.1109/TASSP.1980.1163420

5. Dora L (2018) Education in professional defense -possibilities of classification of training level with the help of impulse. J Syst Manag Sci 8(1):23–44

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