Speech Emotion Recognition from Social Media Voice Messages Recorded in the Wild
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-50726-8_43
Reference11 articles.
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2. Venter, E.: Challenges for meaningful interpersonal communication in a digital era. HTS Teol. Stud. 75, 1–6 (2019). https://doi.org/10.4102/hts.v75i1.5339
3. Zucco, C., Calabrese, B., Agapito, G., Guzzi, P., Cannataro, M.: Sentiment analysis for mining texts and social networks data: methods and tools. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 10, e1333 (2019). https://doi.org/10.1002/widm.1333
4. Sherman, L., Michikyan, M., Greenfield, P.: The effects of text, audio, video, and in-person communication on bonding between friends. Cyberpsychology J. Psychosoc. Res. Cybersp. 7, Article 1 (2013). https://doi.org/10.5817/cp2013-2-3
5. Swain, M., Routray, A., Kabisatpathy, P.: Databases, features and classifiers for speech emotion recognition: a review. Int. J. Speech Technol. 21, 93–120 (2018). https://doi.org/10.1007/s10772-018-9491-z
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