most citedMega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

16 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2026

Towards More Expressive Spoken LLMs: Fine-Grained Intent Benchmarking and Acoustic-Lexical Decoupled Policy Optimization

Xiang Lin, Tian-Hao Zhang, Chunfeng Wang +3

Spoken emotional dialogue requires a model to understand a user's spoken input and generate a response that is both semantically appropriate and emotionally expressive. This is cha…

eess.AS2026

SMC-ITA: Sequential Monte Carlo Inference-Time Alignment for Video-to-Audio Generation

Haoyu Zhang, Yuta Oshima, Xingjian Du +4

Video-to-audio (V2A) generation must jointly satisfy audiovisual alignment, semantic consistency, temporal synchronization, and perceptual quality. While prior work has mainly focu…

eess.AS2023★ 8 cited

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

Ziyue Jiang, Jinglin Liu, Yi Ren +10

Zero-shot text-to-speech (TTS) aims to synthesize voices with unseen speech prompts, which significantly reduces the data and computation requirements for voice cloning by skipping…

eess.AS2023

GenerTTS: Pronunciation Disentanglement for Timbre and Style Generalization in Cross-Lingual Text-to-Speech

Yahuan Cong, Haoyu Zhang, Haopeng Lin +5

Cross-lingual timbre and style generalizable text-to-speech (TTS) aims to synthesize speech with a specific reference timbre or style that is never trained in the target language.…

eess.AS2023★ 16 cited

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

Ziyue Jiang, Yi Ren, Zhenhui Ye +9

Scaling text-to-speech to a large and wild dataset has been proven to be highly effective in achieving timbre and speech style generalization, particularly in zero-shot TTS. Howeve…

cs.SD2023

StyleS2ST: Zero-shot Style Transfer for Direct Speech-to-speech Translation

Kun Song, Yi Ren, Yi Lei +5

Direct speech-to-speech translation (S2ST) has gradually become popular as it has many advantages compared with cascade S2ST. However, current research mainly focuses on the accura…

cs.CL2023

LiteG2P: A fast, light and high accuracy model for grapheme-to-phoneme conversion

Chunfeng Wang, Peisong Huang, Yuxiang Zou +4

As a key component of automated speech recognition (ASR) and the front-end in text-to-speech (TTS), grapheme-to-phoneme (G2P) plays the role of converting letters to their correspo…