activity
20202022
most citedMulti-modal Attention for Speech Emotion Recognition

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2022

Team OS's System for Dialogue Robot Competition 2022

Yuki Kubo, Ryo Yanagimoto, Hayato Futase +3

This paper describes our dialogue robot system, OSbot, developed for Dialogue Robot Competition 2022. The dialogue flow is based on state transitions described manually and the tra…

cs.CV2021

Panoptic-aware Image-to-Image Translation

Liyun Zhang, Photchara Ratsamee, Bowen Wang +4

Despite remarkable progress in image translation, the complex scene with multiple discrepant objects remains a challenging problem. The translated images have low fidelity and tiny…

eess.AS2021

Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks

Zhaojie Luo, Shoufeng Lin, Rui Liu +3

Emotional voice conversion (VC) aims to convert a neutral voice to an emotional (e.g. happy) one while retaining the linguistic information and speaker identity. We note that the d…

cs.MM2021★ 4 cited

Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition

Shuyun Tang, Zhaojie Luo, Guoshun Nan +2

Automatic emotion recognition (AER) based on enriched multimodal inputs, including text, speech, and visual clues, is crucial in the development of emotionally intelligent machines…

eess.AS2020★ 7 cited

Multi-modal Attention for Speech Emotion Recognition

Zexu Pan, Zhaojie Luo, Jichen Yang +1

Emotion represents an essential aspect of human speech that is manifested in speech prosody. Speech, visual, and textual cues are complementary in human communication. In this pape…