5 papers
Enhancing Speech Emotion Recognition with Multi-Task Learning and Dynamic Feature Fusion
Honghong Wang, Jing Deng, Fanqin Meng +1
This study investigates fine-tuning self-supervised learn ing (SSL) models using multi-task learning (MTL) to enhance speech emotion recognition (SER). The framework simultane ousl…
Speech Emotion Recognition Using Fine-Tuned DWFormer:A Study on Track 1 of the IERPChallenge 2024
Honghong Wang, Xupeng Jia, Jing Deng +1
The field of artificial intelligence has a strong interest in the topic of emotion recognition. The majority of extant emotion recognition models are oriented towards enhancing the…
Mitigating Category Imbalance: Fosafer System for the Multimodal Emotion and Intent Joint Understanding Challenge
Honghong Wang, Yankai Wang, Dejun Zhang +2
This paper presents Fosafer approach to the Track 2 Mandarin in the Multimodal Emotion and Intent Joint Understandingchallenge, which focuses on achieving joint recognition of emot…
Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge
Shangkun Huang, Yuxuan Du, Jingwen Yang +5
This paper presents the system developed to address the MISP 2025 Challenge. For the diarization system, we proposed a hybrid approach combining a WavLM end-to-end segmentation met…
Leveraging LLM for Stuttering Speech: A Unified Architecture Bridging Recognition and Event Detection
Shangkun Huang, Jing Deng, Jintao Kang +1
The performance bottleneck of Automatic Speech Recognition (ASR) in stuttering speech scenarios has limited its applicability in domains such as speech rehabilitation. This paper p…