Soft-target training with ambiguous emotional utterances for dnn-based speech emotion classification A Ando, S Kobashikawa, H Kamiyama, R Masumura, Y Ijima, Y ...

Satoshi Kobashikawa received the B.E., M.E., and Ph.D. degrees from the University of Tokyo, Tokyo, Japan, in 2000, 2002, and 2013, respectively. Since joining ...

Sep 2, 2024 · List of computer science publications by Satoshi Kobashikawa.

Semantic Scholar profile for Satoshi Kobashikawa, with 14 highly influential citations and 48 scientific research papers.

Satoshi Kobashikawa · Most frequent co-Author · Most cited colleague · Most frequent Affiliation.

Satoshi Kobashikawa's 46 research works with 296 citations, including: Learning from Multiple Annotator Biased Labels in Multimodal Conversation.

This study investigates social-psychological negotiation-outcome prediction (SPNOP), a novel task for estimating various subjective evaluation scores of ...

Satoshi KOBASHIKAWA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents ...

Read Satoshi Kobashikawa's latest research, browse their coauthor's research, and play around with their algorithms.

This paper presents a novel emotion classification method for natural speech. One of the problems in the state-of-the-art method based on Deep Neural Network ( ...