...Yuan Gao; Hao Shi; Chenhui Chu; Tatsuya Kawahara In this paper, we propose a multi-level speech emotion recognition (SER) system that captures both acoustic and linguistic emotional features using only speech input. In particular, our approach utilizes an acoustic feature extractor (HuBERT...

...Ryotaro Nagase; Takahiro Fukumori; Yoichi Yamashita Recently, much research has been actively conducted on speech emotion recognition (SER) using deep learning, which predicts emotions conveyed by speech. Our study focused on a method of recognizing emotions at each frame level. One challenge...

... synthesis text to speech speech emotion recognition There is a strong relationship between emotions and prosodic factors [ 1 , 14 , 29 ] or prominence [ 2 , 13 , 43 ]. Akçay and Oğuz [ 1 ] reported on the correlation between global statistics of prosodic factors including pitch, energy...

...Atsushi Ando; Takeshi Mori; Satoshi Kobashikawa; Tomoki Toda This paper presents a novel speech emotion recognition scheme that leverages the individuality of emotion perception. Most conventional methods simply poll multiple listeners and directly model the majority decision as the perceived...

...Bagus Tris Atmaja; Masato Akagi The majority of research in speech emotion recognition (SER) is conducted to recognize emotion categories. Recognizing dimensional emotion attributes is also important, however, and it has several advantages over categorical emotion. For this research, we investigate...