activity
20232026
most citedVALL-T: Decoder-Only Generative Transducer for Robust and Decoding-Controllable Text-to-Speech

10 citations · 17 across the 25 of their papers we have counts for

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Showing 2026 · cs.SDShow all

8 papers · 2 filters

cs.SD2026

VoxCanvas-41M: A Large-Scale Bilingual Dataset for Instruction-Based Speech Editing and Its Learning Dynamics

Zhikang Niu, Wenming Tu, Yalin Li +8

Recent advances in speech generation have spurred the development of speech editing techniques. However, achieving high-quality speech editing remains challenging due to two key li…

cs.SD2026

Route-DMD: Distribution Matching Distillation with Task-Routed Mechanism for Speech Foundation Models

Yanru Huo, Zhikang Niu, Wenming Tu +7

Speech foundation models built on flow matching handle generation, editing, and processing in one system, but every request costs 20-50 iterative steps, and classifier-free guidanc…

cs.SD2026

TinyAudio: Compact and Efficient Text-to-Audio Generation for Low-Resource Deployment

Junxi Liu, Xiquan Li, Wenhao Guan +5

Text-to-audio (TTA) generation has advanced rapidly in generation quality and instruction following. However, representative systems often require around a billion parameters, limi…

cs.SD2026

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

Qingyu Liu, Rixi Xu, Yushen Chen +11

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 dependen…

cs.SD2026

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

Ziyang Ma, Zhikang Niu, Wenming Tu +30

We introduce AuK, an open-source foundational model that unifies speech generation and editing through a common interface of natural-language instructions and audio context. To sup…

cs.SD2026

MMAE: A Massive Multitask Audio Editing Benchmark

Ziyang Ma, Ruiqi Yan, Ruiyang Xu +35

We introduce MMAE, a Massive Multitask Audio Editing benchmark, serving as the first comprehensive evaluation testbed designed for general-purpose instruction-based audio editing.…

cs.SD2026

X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning

Rixi Xu, Qingyu Liu, Haitao Li +10

In this paper, we present X-Voice, a 0.4B multilingual zero-shot voice cloning model that clones arbitrary voices and enables everyone to speak 30 languages. X-Voice is trained on…

cs.SD2026★ 3 cited

SLAM-LLM: A Modular, Open-Source Multimodal Large Language Model Framework and Best Practice for Speech, Language, Audio and Music Processing

Ziyang Ma, Guanrou Yang, Wenxi Chen +19

The recent surge in open-source Multimodal Large Language Models (MLLM) frameworks, such as LLaVA, provides a convenient kickoff for artificial intelligence developers and research…