Speech emotion recognition (SER) is traditionally performed using merely acoustic
information. Acoustic features, commonly are extracted per frame, are mapped into emotion …

The relationship between music and emotion has been addressed within several
disciplines, from more historico-philosophical and anthropological ones, such as musicology …

Speech emotion recognition has evolved from research to practical applications. Previous
studies of emotion recognition from speech have focused on developing models on certain …

Deep neural networks have been proven effective in classifying human interactions into
emotions, especially by encoding multiple input modalities. In this work, we assess the …

Speech emotion recognition currently gained more interest from researchers due to its
potential applications in the market. Instead of a speech, vocal bursts are understudied and …

Speech emotion recognition is a subfield of computational paralinguistics that analyzes
emotional manifestations using acoustic and linguistic properties of speech signals. With a …

Emotion is an important component of music investigated in music psychology. In recent
years, the use of computational methods to assess the link between music and emotions has …

JAIST Repository Page 1 Japan Advanced Institute of Science and Technology JAIST
Repository https://dspace.jaist.ac.jp/ Title 音響情報および言語情報の統合による次元的音声感情 …