Modern text-to-speech (TTS) systems are rarely deployed as unchanged pre-trained models. They are often adapted through supervised fine-tuning (SFT) or preference optimization such as DPO and GRPO. This raises a practical question for audio deepfake forensics: do fingerprints learned from a foundation generator remain...
Model intelligence and fast response jointly shape the quality of interaction with speech language models, yet remain difficult to achieve together. Explicit chain-of-thought (CoT) improves reasoning and audio understanding, but generating intermediate reasoning tokens delays responses. Describing fine-grained acoustic...
Yu-Xiang Wang, Kun-Yu Feng, Yuan-Cheng Wang et al.· 2 citations
CoReLoop is proposed, which enables controlled recurrent refinement through loop-specific LoRA and lightweight modules that adapt recurrent inputs, regulate state updates, and align refined representations with the frozen classifier.
Kun-Yu Feng, Yu-Xiang Wang, Li Wang et al.· 2 citations
Tffic-Audio is presented, a general speech deepfake detection system designed for comprehensive evaluation environment that achieves a pooled EER of 1.454% on the 14 test sets of Speech-DF-Arena, outperforming all currently public systems on the leaderboard.
Wan Lin, Li Wang, Jin-Dong Wang et al.· arXiv.org· 1 citation
ParaBridge is proposed, an on-policy self-distillation method that turns a brittle inference-time scaffold into stable model behavior and generalizes to unseen paralinguistic cues, transfers from safety-oriented training to empathy-oriented dialogue, and works on a different SLM backbone.
Yuxiang Wang, Qin-Ke Ni, Sheng-Bo Cai et al.· arXiv.org· 2 citations
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