collaborators

9 papers

cs.SD2026

Long-Prompt Zero-Shot TTS: Benchmarking Prosody Reproduction Beyond Voice Cloning

Dekun Chen, Renjie Xu, Yingda Shen +2

Zero-shot text-to-speech (TTS) typically conditions on a short speech prompt, which conveys timbre but provides only limited evidence of a speaker's prosodic patterns. We formulate…

cs.AI2026

DuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaboration

Yingda Shen, Yuxiang Wang, Kunyu Feng +7

Voice agents are converging on a collaboration pattern: a full-duplex interaction model stays on the live channel as the entry to the conversation, while search, reasoning, and cod…

cs.CL2026

AURAL: Adaptive Latent Reasoning with Joint Chunk for Speech Language Models

Yuxiang Wang, Kunyu Feng, Yuancheng Wang +12

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)…

cs.SD2026

EvoAudio: Recursive Self-Improvement for Audio Understanding

Yuxiang Wang, Shengbo Cai, Yingda Shen +6

Audio language models understand what is said far better than how it sounds. Closing this gap takes more than data. Detailed acoustic annotation is costly, labels from stronger mod…

cs.SD2026

GenTraceBench: A Benchmark for Tracing Audio Deepfakes Across Pre- and Post-training Stages

Li Wang, Kunyu Feng, Wan Lin +7

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…

cs.CL2026

ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models

Yuxiang Wang, Qinke Ni, Shengbo Cai +3

Speech carries more information than just words: a child's voice, a fearful tone, or a noisy background should all lead a sufficiently competent spoken-dialogue assistant to differ…

cs.SD2026

VoxSafeBench: Not Just What Is Said, but Who, How, and Where

Yuxiang Wang, Hongyu Liu, Yijiang Xu +9

As speech language models (SLMs) transition from personal devices into shared, multi-user environments, their responses must account for far more than the words alone. Who is speak…

cs.SD2026

NV-Bench: Benchmark of Nonverbal Vocalization Synthesis for Expressive Text-to-Speech Generation

Qinke Ni, Huan Liao, Dekun Chen +2

While recent text-to-speech (TTS) systems increasingly integrate nonverbal vocalizations (NVs), their evaluations lack standardized metrics and reliable ground-truth references. To…

cs.SD2025

NVSpeech: An Integrated and Scalable Pipeline for Human-Like Speech Modeling with Paralinguistic Vocalizations

Huan Liao, Qinke Ni, Yuancheng Wang +5

Paralinguistic vocalizations-including non-verbal sounds like laughter and breathing, as well as lexicalized interjections such as "uhm" and "oh"-are integral to natural spoken com…