Speech Emotion Recognition UsingConvolutional Neural Network and Long-Short TermMemory
Author:
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/s11042-020-09693-w.pdf
Reference18 articles.
1. Aldeneh Z, Mower Provost E (2017) Using regional saliency for speech emotion recognition. 2741–2745
2. Hajarolasvadi N, Demirel H (2019) 3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms. Entropy 21(5):479. https://doi.org/10.3390/e21050479
3. Huang K, Wu C, Su M, Kuo Y (2018) Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model. IEEE Trans Affect Comput 11:1–404. https://doi.org/10.1109/TAFFC.2018.2803178
4. Huang KY, Wu CH, Su MH (2019) Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses. Pattern Recognition 88:668–678. https://doi.org/10.1016/j.patcog.2018.12.016
5. Huang K, Wu C, Hong Q, Su M, Chen Y (2019) Speech Emotion Recognition Using Deep Neural Network Considering Verbal and Nonverbal Speech Sounds in ICASSP 2019–2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp 5866–5870, https://doi.org/10.1109/ICASSP.2019.8682283.
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