collaborators

11 papers

cs.LG2026

SPRI: SVD-Partitioned Residual Initialization for Data-Constrained MoE Upcycling

Weiqiao Shan, Ruixiang Mao, Yuang Li +10

Mixture-of-Experts (MoE) models enable efficient scaling, but training them from scratch remains prohibitively expensive. MoE upcycling mitigates this cost by converting pretrained…

cs.SD2026

DirectAudioEdit: Inversion-Free Text-Guided Audio Editing via Diffusion Prediction Contrast

Zhengkun Ge, Xiaoqian Liu, Haoran Zhang +5

Text-guided audio editing aims to modify the language-specified acoustic content while preserving edit-irrelevant source components. Existing training-free methods typically rely o…

cs.CL2026

On the Emotion Understanding of Synthesized Speech

Yuan Ge, Haishu Zhao, Aokai Hao +10

Emotion is a core paralinguistic feature in voice interaction. It is widely believed that emotion understanding models learn fundamental representations that transfer to synthesize…

cs.CL2026

StyleBench: Evaluating Speech Language Models on Conversational Speaking Style Control

Haishu Zhao, Aokai Hao, Yuan Ge +3

Speech language models (SLMs) have significantly extended the interactive capability of text-based Large Language Models (LLMs) by incorporating paralinguistic information. For mor…

cs.CL2025

SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement

Yuan Ge, Junxiang Zhang, Xiaoqian Liu +10

Speech-to-Speech (S2S) Large Language Models (LLMs) are foundational to natural human-computer interaction, enabling end-to-end spoken dialogue systems. However, evaluating these m…

cs.SD2025

M-CIF: Multi-Scale Alignment For CIF-Based Non-Autoregressive ASR

Ruixiang Mao, Xiangnan Ma, Qing Yang +7

The Continuous Integrate-and-Fire (CIF) mechanism provides effective alignment for non-autoregressive (NAR) speech recognition. This mechanism creates a smooth and monotonic mappin…