Zero-Shot TTS

TTS: Text-to-Speech

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10 papers in the last four weeks, up 233% on the four weeks before. 0.1% of all new papers.

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Pixel-TTS: Image based Text Rendering for Robust Text-to-Speech
Jun 5, 2026Adarsh Arigala, Arjun Gangwar, S Umesh +1TTS Synthesis Zero-Shot TTS
SPRING Lab, Indian Institute of Technology, Madras, India · 2MBZUAI, UAE
GLASS: GRPO-Trained LoRA for Acoustic Style Steering in Zero-Shot Text-to-Speech
Jun 4, 2026Jaehoon Kang, Yejin Lee, Kyuhong ShimTTS Synthesis Adapter Tuning
Department of Artificial Intelligence, Sungkyunkwan University, Korea
WavTTS: Towards High-Quality Zero-Shot TTS via Direct Raw Waveform Modeling
Jun 2, 2026Wenxi Chen, Dongya Jia, Yushen Chen +11TTS Synthesis Audio Diffusion Models
Shanghai Jiao Tong University · Shanghai Innovation Institute · ByteDance Seed
Chatterbox-Flash: Prior-Calibrated Block Diffusion for Streaming Zero-Shot TTS
May 29, 2026Deokjin Seo, Gangin Park, Kihyun NamTTS Synthesis Streaming TTS Synthesis
Seoul National University · KAIST
PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis
May 26, 2026Bowen Li, Shaotong Guo, Zhen Wang +11TTS Synthesis Zero-Shot TTS
Amap, Alibaba Group · The Chinese University of Hong Kong, Shenzhen
Continual Speaker Identity Unlearning with Minimal Interference
May 25, 2026Jinju Kim, Yunsung Kang, Gyeong-Moon Park +1TTS Synthesis Zero-Shot TTS
Sungkyunkwan University · Korea University
CosyEdit2: Speech-Editing-Oriented Reinforcement Learning Unlocks Better Zero-Shot TTS
May 25, 2026Junyang Chen, Yuhang Jia, Hui Wang +3Speech Editing Zero-Shot TTS
College of Computer Science, Nankai University · College of Artificial Intelligence, Nankai University
RobustSpeechFlow: Learning Robust Text-to-Speech Trajectories via Augmentation-based Contrastive Flow Matching
May 21, 2026Jinhyeok Yang, Hyeongju Kim, Yechan Yu +3Flow Matching TTS Synthesis
Supertone Inc, South Korea · Independent Researcher, South Korea
Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech
May 10, 2026Dong Yang, Yiyi Cai, Haoyu Zhang +2Flow Matching TTS Synthesis
1The University of Tokyo · 2Independent Researcher
X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning
May 7, 2026Rixi Xu, Qingyu Liu, Haitao Li +10TTS Synthesis Zero-Shot TTS
1MoE Key Lab of Artificial Intelligence, X-LANCE Lab, Shanghai Jiao Tong University · Center for Language and Speech Processing, Johns Hopkins University · 2Shanghai Innovation Institute +4
Speech Generation Speaker Poisoning: Capability Erasure in Zero-Shot Text-to-Speech
Mar 8, 2026Thanathai Lertpetchpun, Thanapat Trachu, Sai Praneeth Karimireddy +1TTS Synthesis Zero-Shot TTS
Signal Analysis and Interpretation Laboratory, University of Southern California · Thomas Lord Department of Computer Science, University of Southern California
Zero-Shot Lombard Speech Synthesis with Controllable Style Embeddings
Jan 19, 2026Seymanur Akti, Alexander WaibelTTS Synthesis Zero-Shot TTS
KIT Campus Transfer GmbH (KCT) · Karlsruhe Institute of Technology (KIT) · Carnegie Mellon University (CMU)

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Pixel-TTS: Image based Text Rendering for Robust Text-to-Speech

Adarsh Arigala, Arjun Gangwar, S Umesh, Yova Kementchedjhieva

SPRING Lab, Indian Institute of Technology, Madras, India · 2MBZUAI, UAE

TTS Synthesis Zero-Shot TTS

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Recent advances in pixel-based text modeling show that representing text as images enables models to exploit visual cues for language understanding. Grounding text in its visual form allows structurally similar characters with different Unicode encodings to produce similar embeddings, benefiting cross-lingual and zero-shot scenarios. Conventional text-based approaches treat each character independently, limiting generalization to unseen characters and requiring embedding expansion during cross-lingual adaptation. We propose Pixel-TTS, the first framework for visually grounded speech synthesis. It renders text as images and projects them through a 2D convolutional layer to generate embeddings. This design eliminates embedding matrix expansion during fine-tuning while improving robustness to unseen characters and orthographic variations. Extensive experiments show Pixel-TTS achieves competitive performance with strong baselines, faster convergence and robust zero-shot generalization.

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Latest papers 42