arXiv AI By Yixuan Li, Xuenan Xu, Zeyu Xie, Mengyue Wu

AlignAudio: A Unified Dual-Alignment Framework for Noise-Robust Speech-Conditioned Generation

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arXiv Machine Learning
Jul 20

RobustSpeechFlow: Learning Robust Text-to-Speech Trajectories via Augmentation-based Contrastive Flow Matching

arXiv:2605. 22083v2 Announce Type: replace-cross Abstract: While flow-matching text-to-speech (TTS) achieves strong zero-shot speaker similarity and naturalness, it remains susceptible to content fidelity issues, particularly skip and repeat errors from imperfect alignment.

By Jinhyeok Yang, Hyeongju Kim, Yechan Yu, Joon Byun, Frederik Bous, Juheon Lee
arXiv AI
Jul 24

AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching

arXiv:2603. 01006v3 Announce Type: replace-cross Abstract: REPresentation Alignment (REPA) improves the training of generative flow models by aligning intermediate hidden states with pretrained teacher features, but its effectiveness in token-conditioned audio Flow Matching critically depends on the choice of supervised layers, which is typically made heuristically based on the depth.

By Pengfei Zhang, Tianxin Xie, Minghao Yang, Li Liu