4 papers · 1 filter
Sequential Trajectories and Simultaneous Blending: Multi-Emotion Modeling for Instruction-Following TTS
Yan Zhou, Yun Hong, Yang Feng
Natural-language instructions enable flexible control of synthesized speech, yet emotional TTS systems primarily model a single utterance-level affect, leaving multi-emotion contro…
FreezeEmpath: Efficient Training for Empathetic Spoken Chatbots with Frozen LLMs
Yun Hong, Yan Zhou, Yang Feng
Empathy is essential for fostering natural interactions in spoken dialogue systems, as it enables machines to recognize the emotional tone of human speech and deliver empathetic re…
Efficient Training for Cross-lingual Speech Language Models
Yan Zhou, Qingkai Fang, Yun Hong +1
Currently, large language models (LLMs) predominantly focus on the text modality. To enable more natural human-AI interaction, speech LLMs are emerging, but building effective end-…
QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models
Yao Wu, Kangping Yin, Liang Dong +13
While Large Language Models (LLMs) excel on standardized medical exams, high scores often fail to translate to high-quality responses for real-world medical queries. Current evalua…