Speech Emotion Recognition Using CNN, k-NN, MLP and Random Forest-Reference-Cited by-同舟云学术

Speech Emotion Recognition Using CNN, k-NN, MLP and Random Forest

Published:2021 Issue: Volume: Page:499-509
ISSN:2367-4512
Container-title:Computer Networks and Inventive Communication Technologies
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Author:

Kaur Jasmeet,Kumar Anil

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-9647-6_39

Reference15 articles.

1. Castellano G, Kessous L, Caridakis G (2008) Emotion recognition through multiple modalities: face, body gesture, speech. In: Affect and emotion in human-computer interaction. Springer, Berlin, Heidelberg, pp 92–103

2. France DJ, Shiavi RG, Silverman S, Silverman M, Wilkes M (2000) Acoustical properties of speech as indicators of depression and suicidal risk. IEEE Trans Biomed Eng 47(7):829–837

3. Koolagudi SG, Rao KS (2012) Emotion recognition from speech: a review. Int J Speech Technol 15(2):99–117

4. Ververidis D, Kotropoulos C (2006) Emotional speech recognition: resources, features, and methods. Speech Commun 48(9):1162–1181

5. Burkhardt F, Paeschke A, Rolfes M, Sendlmeier WF, Weiss B (2005) A database of german emotional speech. In: Ninth european conference on speech communication and technology

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