2 papers
cs.SD2026
Evaluating and Rewarding LALMs for Expressive Role-Play TTS via Mean Continuation Log-Probability
Yong Ren, Jingbei Li, Haiyang Sun +6
Recent advances in Large Audio Language Models (LALMs) have extended Text-to-Speech (TTS) to interactive role-play scenarios, which demand high expressiveness and strict adherence…
cs.SD2026
ACE-Step 1.5: Pushing the Boundaries of Open-Source Music Generation
Junmin Gong, Yulin Song, Wenxiao Zhao +4
We present ACE-Step v1.5, a highly efficient open-source music foundation model that brings commercial-grade generation to consumer hardware. On commonly used evaluation metrics, A…