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Kai Yu

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Preprint Sep 2026

Cross-Lingual F5-TTS 2: A Simplified Framework for Language-Agnostic Voice Cloning

Zero-shot text-to-speech (TTS) can clone a speaker's voice from a short audio prompt, yet most TTS systems still require the audio prompt transcript during inference. This dependency prevents cross-lingual voice cloning when the audio prompt transcript is unavailable, particularly for unseen languages. Cross-Lingual F5...

Qingyun Liu, Rixi Xu, Yu-Shen Chen et al. · 0 citations
#natural language process... Preprint Sep 2026

AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing

AuK, an open-source foundational model that unifies speech generation and editing through a common interface of natural-language instructions and audio context, is introduced and leading performance on zero-shot and instruction-controlled speech generation and general instruction-guided editing is demonstrated.

Zi-Yang Ma, Zhi-Kang Niu, Wen-Ming Tu et al. · 3 citations · ⚡1
#artificial intelligence Preprint Jul 2026

X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System

X-Translator is presented, a low-cost modular cascaded S2ST system that combines streaming ASR, machine translation, and prompt-conditioned TTS through a session-level runtime controller that provides an open platform for understanding the practical trade-offs of deployment-oriented S2ST.

Yuxiang Zhao, Yichi Zhang, Yanjie An et al. · 0 citations

Anonymization, Not Elimination: Utility-Preserved Speech Anonymization

This work proposes a novel two-stage framework that protects both linguistic content and acoustic identity while maintaining usability and introduces F3-VA, a flow-matching-based anonymization framework with a three-stage design that produces diverse and distinct anonymized speakers.

Yunchong Xiao, Yuxiang Zhao, Ziyang Ma et al. · 1 citation

UltraVoice: Scaling Fine-Grained Style-Controlled Speech Conversations for Spoken Dialogue Models

The first large-scale speech dialogue dataset engineered for multiple fine-grained speech style control, UltraVoice, demonstrates substantial gains in core understanding, reasoning, and conversational abilities, and its utility extends to training controllable Text-to-Speech (TTS) models.

Wen-Ming Tu, Guanrou Yang, Rui-Qi Yan et al. · 3 citations · ⚡1

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