most citedDAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder

34 citations · 150 across the 24 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 7 cited

ContextSpeech: Expressive and Efficient Text-to-Speech for Paragraph Reading

Yujia Xiao, Shaofei Zhang, Xi Wang +5

While state-of-the-art Text-to-Speech systems can generate natural speech of very high quality at sentence level, they still meet great challenges in speech generation for paragrap…

cs.CL2023★ 5 cited

Deliberate then Generate: Enhanced Prompting Framework for Text Generation

Bei Li, Rui Wang, Junliang Guo +7

Large language models (LLMs) have shown remarkable success across a wide range of natural language generation tasks, where proper prompt designs make great impacts. While existing…

cs.CL2023★ 7 cited

DiffusionNER: Boundary Diffusion for Named Entity Recognition

Yongliang Shen, Kaitao Song, Xu Tan +3

In this paper, we propose DiffusionNER, which formulates the named entity recognition task as a boundary-denoising diffusion process and thus generates named entities from noisy sp…

cs.CL2023★ 23 cited

A Study on ReLU and Softmax in Transformer

Kai Shen, Junliang Guo, Xu Tan +3

The Transformer architecture consists of self-attention and feed-forward networks (FFNs) which can be viewed as key-value memories according to previous works. However, FFN and tra…

cs.CL2022★ 12 cited

Empowering Diffusion Models on the Embedding Space for Text Generation

Zhujin Gao, Junliang Guo, Xu Tan +4

Diffusion models have achieved state-of-the-art synthesis quality on both visual and audio tasks, and recent works further adapt them to textual data by diffusing on the embedding…

cs.CL2022★ 5 cited

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

Kai Shen, Yichong Leng, Xu Tan +4

Text error correction aims to correct the errors in text sequences such as those typed by humans or generated by speech recognition models. Previous error correction methods usuall…

cs.CL2022

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing

Yihan Wu, Junliang Guo, Xu Tan +7

Video dubbing aims to translate the original speech in a film or television program into the speech in a target language, which can be achieved with a cascaded system consisting of…