33 citations · 51 across the 6 of their papers we have counts for
6 papers
Robust Speech Emotion Recognition under Tone-Word Conflict: A Benchmark and Framework
Xiaojiang Peng, Dawei Huang, Yongjie Lv +5
Speech emotion recognition (SER) is a crucial component of human-computer interaction, attracting extensive attention from both industry and academia. However, existing SER systems…
When Tone and Words Disagree: Towards Robust Speech Emotion Recognition under Acoustic-Semantic Conflict
Dawei Huang, Yongjie Lv, Ruijie Xiong +2
Speech Emotion Recognition (SER) systems often assume congruence between vocal emotion and lexical semantics. However, in real-world interactions, acoustic-semantic conflict is com…
Emotion-Qwen: A Unified Framework for Emotion and Vision Understanding
Dawei Huang, Qing Li, Chuan Yan +9
Accurate emotion understanding in videos necessitates effectively recognizing and interpreting emotional states by integrating visual, textual, auditory, and contextual cues. Altho…
miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models
Xin Zhou, Dawei Huang, Xiaojing Peng +1
EEG-based emotion recognition holds significant potential in the field of brain-computer interfaces. A key challenge lies in extracting discriminative spatiotemporal features from…
SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion Recognition
Zebang Cheng, Shuyuan Tu, Dawei Huang +4
This paper presents our winning approach for the MER-NOISE and MER-OV tracks of the MER2024 Challenge on multimodal emotion recognition. Our system leverages the advanced emotional…
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts
Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi +27
Monolithic large language models (LLMs) like GPT-4 have paved the way for modern generative AI applications. Training, serving, and maintaining monolithic LLMs at scale, however, r…