Improving Speech Emotion Recognition System Using Spectral and Prosodic Features
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96308-8_37
Reference20 articles.
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2. Abdel-Hamid, L., Shaker, N.H., Emara, I.: Analysis of linguistic and prosodic features of bilingual Arabic-English speakers for speech emotion recognition. IEEE Access 8, 72957–72970 (2020)
3. BojaniÃ, M., DeliÃ, V., Karpov, A.: Call redistribution for a call center based on speech emotion recognition. Appl. Sci. 10(13), 4653 (2020)
4. Shegokar, P., Sircar, P.: Continuous wavelet transform based speech emotion recognition. In: 2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS), pp. 1–8 (2016)
5. Getahun, F., Kebede, M.: Emotion identification from spontaneous communication. In: 2016 12th International Conference on Signal-Image Technology Internet-Based Systems (SITIS), pp. 151–158 (2016)
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