Papers by Jinghua Zhao

2 papers
EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations (2026.findings-acl)

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Challenge: Existing datasets face issues such as low quality, limited scale, and incomplete modalities, hindering model performance.
Approach: They propose to use Chinese multimodal datasets to capture authentic emotional interplay from 19 professional actors.
Outcome: The EmotionTalk dataset spans 23.6 hours of dyadic conversations across diverse scenarios.
SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation (2026.acl-long)

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Challenge: Existing methods for evaluating the perceptual quality of synthetic speech are limited due to the complexity of perceptual quality factors and the diversity of speech generation tasks.
Approach: They propose a new paradigm for enabling large language models to conduct structured speech quality evaluation using a large-scale dataset.
Outcome: The proposed model performs well across tasks and languages.

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