A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Along with automatic speech recognition, many researchers have been actively studying speech emotion recognition, since emotion information is as crucial as the textual information for effective interactions. Emotion can be divided into categorical emotion and dimensional emotion. Although categorical emotion is widely used, dimensional emotion, typically represented as arousal and valence, can provide more detailed information on the emotional states. Therefore, in this paper, we propose adoi:10.3390/sym14071428 fatcat:jisw3lcplbavzj4wuspkdyvnra