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MMAG: A Multi-Control Mixed Audio Generation Benchmark
Zihao Zheng, Xuenan Xu, Jiahao Mei +5
Recent audio generation systems have progressed from single-modality synthesis to generating complex acoustic scenes containing speech, music, and sound effects. Therefore, evaluat…
Bayesian Speech Synthesizers Can Learn from Multiple Teachers
Ziyang Zhang, Yifan Gao, Xuenan Xu +3
Text-to-Speech (TTS) is inherently a "one-to-many" mapping characterized by intrinsic uncertainty, yet current paradigms often oversimplify it into a deterministic regression task.…
HoliAntiSpoof: Audio LLM for Holistic Speech Anti-Spoofing
Xuenan Xu, Yiming Ren, Liwei Liu +5
Recent advances in speech synthesis and editing have made speech spoofing increasingly challenging. However, most existing methods treat spoofing as binary classification, overlook…
MMEDIT: A Unified Framework for Multi-Type Audio Editing via Audio Language Model
Ye Tao, Wen Wu, Chao Zhang +3
Text-guided audio editing aims to modify specific acoustic events while strictly preserving non-target content. Despite recent progress, existing approaches remain fundamentally li…
PicoAudio2: Temporal Controllable Text-to-Audio Generation with Natural Language Description
Zihao Zheng, Zeyu Xie, Xuenan Xu +3
While recent work in controllable text-to-audio (TTA) generation has achieved fine-grained control through timestamp conditioning, its scope remains limited by audio quality and in…
UniFlow-Audio: Unified Flow Matching for Audio Generation from Omni-Modalities
Xuenan Xu, Jiahao Mei, Zihao Zheng +9
Audio generation, including speech, music and sound effects, has advanced rapidly in recent years. These tasks can be divided into two categories: time-aligned (TA) tasks, where ea…