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20242026
most citedAnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement

12 citations · 12 across the 7 of their papers we have counts for

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5 papers · 1 filter

eess.AS2025

Audio Deepfake Verification

Li Wang, Junyi Ao, Linyong Gan +3

With the rapid development of deepfake technology, simply making a binary judgment of true or false on audio is no longer sufficient to meet practical needs. Accurately determining…

eess.AS2024

Debatts: Zero-Shot Debating Text-to-Speech Synthesis

Yiqiao Huang, Yuancheng Wang, Jiaqi Li +4

In debating, rebuttal is one of the most critical stages, where a speaker addresses the arguments presented by the opposing side. During this process, the speaker synthesizes their…

eess.AS2024

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Haorui He, Zengqiang Shang, Chaoren Wang +11

Recent advancements in speech generation models have been significantly driven by the use of large-scale training data. However, producing highly spontaneous, human-like speech rem…

eess.AS2024

RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis

Detai Xin, Xu Tan, Kai Shen +8

We present RALL-E, a robust language modeling method for text-to-speech (TTS) synthesis. While previous work based on large language models (LLMs) shows impressive performance on z…

eess.AS2024

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Zeqian Ju, Yuancheng Wang, Kai Shen +16

While recent large-scale text-to-speech (TTS) models have achieved significant progress, they still fall short in speech quality, similarity, and prosody. Considering speech intric…