English speech emotion recognition method based on speech recognition-Reference-Cited by-同舟云学术

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English speech emotion recognition method based on speech recognition

Published:2022-02-08 Issue:2 Volume:25 Page:391-398
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Liu Man

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

https://link.springer.com/content/pdf/10.1007/s10772-021-09955-4.pdf

Reference21 articles.

1. Alotaibi, Y. A., et al. (2019). A canonicalization of distinctive phonetic features to improve arabic speech recognition. Acta Acustica United with Acustica, 105(6), 1269–1277.

2. Cai, X., Yin, Y., & Zhang, Q. (2020). A cross-language study on feedforward and feedback control of voice intensity in Chinese-English bilinguals. Applied Psycholinguistics, 41(4), 771–795.

3. Cui, X., et al. (2020). Distributed training of deep neural network acoustic models for automatic speech recognition: A comparison of current training strategies. IEEE Signal Processing Magazine, 37(3), 39–49.

4. Dong, Y., et al. (2019). Bidirectional convolutional recurrent sparse network (bcrsn): An efficient model for music emotion recognition. IEEE Transactions on Multimedia, 21(12), 3150–3163.

5. Elizabeth et al. (2019). Illusions of transitive expletives in middle English. Journal of Comparative Germanic Linguistics, 22(3), 211–246.

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