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Automatic Classification of Emotions in Spontaneous Speech.

, , and . COST 2102 Conference, volume 6800 of Lecture Notes in Computer Science, page 229-239. Springer, (2010)

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Speech Emotion Perception by Human and Machine., , and . COST 2102 Workshop (Patras), volume 5042 of Lecture Notes in Computer Science, page 213-224. Springer, (2007)Problems of the Automatic Emotion Recognitions in Spontaneous Speech; An Example for the Recognition in a Dispatcher Center., and . COST 2102 Training School, volume 6456 of Lecture Notes in Computer Science, page 331-339. Springer, (2010)Automatic estimation of severity of Parkinson's disease based on speech rhythm related features., , , and . CogInfoCom, page 11-16. IEEE, (2017)Automatic cross- and multi-lingual recognition of dysphonia by ensemble classification using deep speaker embedding models., and . Expert Syst. J. Knowl. Eng., (October 2024)Automatic Sentence Modality Recognition in Children's Speech, and Its Usage Potential in the Speech Therapy., , and . COST 2102 Conference (Prague), volume 5641 of Lecture Notes in Computer Science, page 266-275. Springer, (2008)Parkinson's Disease Severity Estimation on Hungarian Speech Using Various Speech Tasks., , and . SpeD, page 1-6. IEEE, (2019)Detection Possibilities of Depression and Parkinson's disease Based on the Ratio of Transient Parts of the Speech., , , and . CogInfoCom, page 165-168. IEEE, (2018)Depression State Assessment: Application for Detection of Depression by Speech., , and . INTERSPEECH, page 966-967. ISCA, (2019)Application for Detecting Depression, Parkinson's Disease and Dysphonic Speech., , and . Interspeech, page 956-957. ISCA, (2021)A computer-assisted prosody pronunciation teaching system., , , and . WOCCI, page 45-49. ISCA, (2014)