4 papers
PW-Pruning: Phase-Aware Expert Selection for Speech-Centric Omni-Modal Models
Junjie Cao, Fengping Tian, Wenjie Zhou +5
Sparse routing reduces per-token computation but leaves the full expert bank resident in memory. We study expert pruning for speech-centric omni-modal models, where pooling calibra…
MVAgent: Multi-Agent Video Generation via Consistent Condition Construction and Shot-Level Policy Optimization
Xiangyu Kong, Wenjie Zhou, Fengping Tian +5
Multi-shot agentic video generation requires consistent character appearance, stable spatial layout across camera angles, and continuous character state between shots. When every s…
Marco-ASR: A Principled and Metric-Driven Framework for Fine-Tuning Large-Scale ASR Models for Domain Adaptation
Xuanfan Ni, Fei Yang, Fengping Tian +6
Automatic Speech Recognition (ASR) models have achieved remarkable accuracy in general settings, yet their performance often degrades in domain-specific applications due to data mi…
Marco-Voice Technical Report
Fengping Tian, Chenyang Lyu, Xuanfan Ni +8
This paper presents a multifunctional speech synthesis system that integrates voice cloning and emotion control speech synthesis within a unified framework. The goal of this work i…