Speech Emotion Recognition Using Neural Network and Wavelet Features-Reference-Cited by-同舟云学术

Speech Emotion Recognition Using Neural Network and Wavelet Features

Published:2019-11-13 Issue: Volume: Page:427-438
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
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Author:

Roy Tanmoy,Marwala Tshilidzi,Chakraverty S.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0287-3_30

Reference21 articles.

1. El Ayadi M, Kamel MS, Karray F (2011) Survey on speech emotion recognition: features, classification schemes, and databases. Pattern Recognit 44(3):572–587

2. Busso C, Lee S, Narayanan S (2009) Analysis of emotionally salient aspects of fundamental frequency for emotion detection. IEEE Trans Audio Speech Lang Process 17:582–596

3. Bosch LT (2003) Emotions, speech and the asr framework. Speech Commun 40(1):213–225

4. Cowie R, Douglas-Cowie E, Tsapatsoulis N, Votsis G, Kollias S, Fellenz W, Taylor JG (2001) Emotion recognition in human-computer interaction. IEEE Signal Process Mag 18(1):32–80. https://doi.org/10.1109/79.911197

5. Han K, Dong Y, Tashev I (2014) Speech emotion recognition using deep neural network and extreme learning machine. In: Proceedings of the INTERSPEECH

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