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Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Speech Emotion Recognition (SER) has become a growing focus of research in human-computer interaction. An essential challenge in SER is to extract common attributes from different speakers or languages, especially when a specific source corpus has to
Publikováno v:
SSRN Electronic Journal.
Autor:
Jia-Xin Ye, Xin-Cheng Wen, Xuan-Ze Wang, Yong Xu, Yan Luo, Chang-Li Wu, Li-Yan Chen, Kun-Hong Liu
In human-computer interaction, Speech Emotion Recognition (SER) plays an essential role in understanding the user's intent and improving the interactive experience. While similar sentimental speeches own diverse speaker characteristics but share comm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbcb3eb6c893d72e68410ebb2e7e4595
Publikováno v:
ICPR
Speech emotion recognition (SER) is an important and challenging task. It requires that a machine learning model process a person's speech signals and to judge his emotional state accurately. Due to the high dimensionality of the audio data, the extr