TTS Synthesis

TTS: Text-to-Speech

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41 papers in the last four weeks, up 242% on the four weeks before. 0.4% of all new papers.

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CrossAccent-TTS: Cross-Lingual Accent-Intensity Controllable Text-to-Speech via Disentangled Speaker and Accent Representations
Jun 24, 2026Ram Annamdevula, Ankit Tatawat, Ashishkumar P. Gudmalwar +2Disentangled Representation Learning TTS Synthesis
Media Analysis, Sony Research India
Sarashina2.2-TTS: Tackling Kanji Polyphony in Japanese Speech Generation via Data Scaling and Targeted Data Synthesis
Jun 24, 2026Lianbo Liu, Shiao Zhu, Kai Washizaki +10TTS Synthesis Data Augmentation
SB Intuitions
ZONOS2 Technical Report
Jun 23, 2026Gabriel Clark, Sofian Mejjoute, Mohamed Osman +2TTS Synthesis Streaming TTS Synthesis
Zyphra · San Francisco, CA
FlowTTS-GRPO: Online Reinforcement Learning with Multi-Objective Reward Optimization for Flow-Matching Based Text-to-Speech
Jun 22, 2026Haoxu Wang, Biao Tian, Weiqin Li +3Flow Matching TTS Synthesis
Tongyi Lab, Alibaba Group, China
Synthesizing the Lombard Effect: Multi-Level Control of Speech Clarity and Vocal Effort in TTS
Jun 22, 2026Seymanur Akti, Alexander WaibelTTS Synthesis Speech Prosody
Karlsruhe Institute of Technology (KIT), Germany · KIT Campus Transfer (KCT), Germany · Carnegie Mellon University (CMU), USA
ISCSLP 2026 CoT-TTS Challenge: Chain-of-Thought Reasoning for Context-Aware Text-to-Speech
Jun 20, 2026Wei Xue, Junlan Feng, Shilei Zhang +9TTS Synthesis TTS Evaluation
The Hong Kong University of Science and Technology · China Mobile · Jiutian Artificial Intelligence Technology (Beijing) Co., Ltd., China Mobile +3
Streaming T5-based Text-to-Speech Synthesis with Limited Lookahead
Jun 20, 2026Muyang Du, Jason Roche, Junjie LaiTTS Synthesis Streaming TTS Synthesis
1NVIDIA, China · 2NVIDIA, USA
DisSpeech: Low-Resource Controllable Mandarin Stuttered Speech Synthesis for ASR Augmentation
Jun 19, 2026Yao LuSynthetic Data Augmentation TTS Synthesis
TMCC, College of Computer Science, Nankai University, Tianjin, China
Sexualised synthetic personas encode and amplify gendered power asymmetries through voice
Jun 19, 2026Alice Ross, Ariadna Sanchez, Elin Kanhov +2TTS Synthesis Algorithmic Bias
University of Edinburgh, United Kingdom · KTH Royal Institute of Technology, Sweden
Imitation Learning for Elder-Facing Speech Synthesis
Jun 19, 2026Dongrui Han, Weidong Chen, Jiawen Kang +3Reinforcement Learning TTS Synthesis
The Chinese University of Hong Kong, Hong Kong SAR, China · Tencent Hunyuan, China
How Do Instructions Shape Speech? Cross-Attention Attribution for Style-Captioned Text-to-Speech
Jun 18, 2026Nityanand Mathur, Hamees Sayed, Wasim Madha +4TTS Synthesis Audio Diffusion Models
FlowEdit: Associative Memory for Lifelong Pronunciation Adaptation in Flow-Matching TTS
Jun 18, 2026Harshit Singh, Ayush Pratap Singh, Nityanand MathurTTS Synthesis Continual Learning
University Of Maryland · TU Darmstadt · Smallest AI
ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion
Jun 18, 2026Maxim Melichov, Yakov Kolani, Morris AlperTTS Synthesis Low-Resource Language Processing
Independent Researcher · Carnegie Mellon University
Exploring Pre-training Benefits on Phoneme Addition through Fine-tuning in Speech Synthesis
Jun 18, 2026Masato Murata, Koichi Miyazaki, Tomoki Koriyama +1TTS Synthesis Low-Resource TTS Synthesis
CyberAgent, Japan · Nagoya University, Japan
Reference-Driven Multi-Speaker Audio Scene Generation from In-the-Wild Priors
Jun 17, 2026Michael Finkelson, Daniel Segal, Eitan Richardson +7TTS Synthesis Controllable Speech Generation
1Lightricks · 2Tel Aviv University
FineCombo-TTS: Collaborative and Precise Controllable Speech Synthesis Using Text Descriptions and Reference Speech
Jun 17, 2026Shuoyi Zhou, Yixuan Zhou, Peiji Yang +4TTS Synthesis Controllable Speech Generation
Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Tencent, Shenzhen, China · Inner Mongolia University Hohhot, China
MagpieTTS-LF: Inference-Time Long-Form Speech Generation Without Training on Long-Form data
Jun 16, 2026Subhankar Ghosh, Jason Li, Paarth Neekhara +4TTS Synthesis Speech Prosody
NVIDIA Corporation, USA
Reliable Neural-Codec Text-to-Speech by ASR Self-Verification and Distillation: Near-Zero Catastrophic Failures Across Models and Codecs
Jun 16, 2026Ali Asaria, Tony Salomone, Deep GandhiTTS Synthesis Text-to-Speech
Transformer Lab
CraBERT: Efficient Phoneme Encoder Pre-Training via Cascade Fusion of Subword Representations for Text-to-Speech
Jun 15, 2026Dong Yang, Yuki Saito, Wataru Nakata +1Language Model Pretraining Representation Learning
The University of Tokyo, Japan
Joycent: Multi-Accent TTS via Disentangled Accent Modeling and Layer-Specific Conditioning
Jun 15, 2026Xintong Wang, Junchuan Zhao, Ye WangDisentangled Representation Learning TTS Synthesis
School of Computing, National University of Singapore, Singapore
Improving Code-Switching ASR with Code-Mixing Guided Synthetic Speech
Jun 14, 2026Yue Heng Yeo, Haoyang Li, Yizhou Peng +6Code-Switching Speech Recognition Synthetic Data Augmentation
College of Computing and Data Science, Nanyang Technological University, Singapore · HLT-COE & CLSP, Johns Hopkins University, USA · Institute for Infocomm Research (I2R), A⋆STAR, Singapore +1
Dynamic Prosody Prediction in LLM-based TTS for Improving Speaker Similarity
Jun 13, 2026Zhenwei Mou, Liping Chen, Yajun Hu +3TTS Synthesis Speech Prosody
University of Science and Technology of China, Anhui, China · iFLYTEK, Anhui, China
DuraMark: Duration-Embedded Watermarking in LLM-based TTS
Jun 13, 2026Zhenwei Mou, Weili Jiang, Liping Chen +4Audio Watermarking TTS Synthesis
University of Science and Technology of China, China · Institute of Forensic Science, Ministry of Public Security, China · The Hong Kong Polytechnic University, China
An Empirical Study on Learning Latent Representations for Emotional Speech Synthesis
Jun 12, 2026Vinh Dang Quang, Huy Ngo QuangRepresentation Learning TTS Synthesis
Aimesoft JSC Hanoi, Vietnam
Mask, Sample, Revise: A Revisable CTMC Inference Stack for Guided Discrete Flow Matching Text-to-Speech
Jun 12, 2026Alef Iury Siqueira Ferreira, Lucas Rafael Stefanel Gris, Luiz Fernando de Araújo Vidal +4Flow Matching TTS Synthesis
Federal University of Goi´as, Goiˆania, Brazil · Federal University of Mato Grosso, Cuiab´a, Brazil · Elsa Speak, S˜ao Paulo, Brazil
Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech
Jun 11, 2026Yihang Lin, Li Zhou, Congwei Cao +4TTS Synthesis Preference Optimization
The Chinese University of Hong Kong, Shenzhen · Shenzhen Loop Area Institute · Agency for Science, Technology and Research +2
UR-BERT: Scaling Text Encoders for Massively Multilingual TTS Through Universal Romanization and Speech Token Prediction
Jun 10, 2026Sangmin Lee, Eekgyun Ahn, Woongjib Choi +1TTS Synthesis
Dept. of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea
Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders
Jun 8, 2026Nikita Koriagin, Georgii Aparin, Nikita Balagansky +1TTS Synthesis Language Model Steering
♣T-Tech · ♦AI Foundation and Algorithm Lab
Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-Speech
Jun 8, 2026Vadim Popov, Wenju Gu, Tasnima Sadekova +2TTS Synthesis Diffusion Models
Huawei Noah’s Ark Lab · National Research University Higher School of Economics · National University of Science and Technology MISIS
OpenBibleTTS: Large-Scale Speech Resources and TTS Models for Low-Resource Languages
Jun 8, 2026David Guzmán, Luel Hagos Beyene, Jesujoba Oluwadara Alabi +3TTS Synthesis TTS Evaluation
McGill University · Mila - Quebec AI Institute · AIMS Research and Innovation Centre +3

Jun 24, 2026, eess.ASJ/K move · Enter open · S save

CrossAccent-TTS: Cross-Lingual Accent-Intensity Controllable Text-to-Speech via Disentangled Speaker and Accent Representations

Ram Annamdevula, Ankit Tatawat, Ashishkumar P. Gudmalwar, Nirmesh J. Shah+1

Media Analysis, Sony Research India

Disentangled Representation Learning TTS Synthesis Controllable Speech Generation Text-to-Speech

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Accent conversion and controllability remain fundamental challenges in cross-lingual text-to-speech (TTS), particularly for low-resource and phonetically diverse Indic languages. While recent large language model (LLM)-based TTS systems exhibit strong cross-lingual generalization, they provide limited explicit control over accent characteristics and intensity. In this paper, we propose CrossAccentTTS, a framework that enables both accent control and conversion while preserving speaker identity. Specifically, we introduce an Accent Intensity Controller (AIC) that injects weighted language embeddings into the accent subspace, allowing smooth interpolation between accents and fine-grained modulation of accent strength at inference time. Experiments on the Indic Multilingual and L2-arctic datasets shows that CrossAccent-TTS achieves precise control of accent intensity, outperforming strong baselines in accent similarity and controllability by maintaining speaker similarity and naturalness.

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Latest papers 178