Search Results for author: Chenyang Le

Found 7 papers, 4 papers with code

TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation

1 code implementation28 May 2024 Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie Liu, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Sheng Zhao, Michael Zeng

There is a rising interest and trend in research towards directly translating speech from one language to another, known as end-to-end speech-to-speech translation.

Machine Translation speech-recognition +4

ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation

1 code implementation NeurIPS 2023 Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Yanmin Qian, Michael Zeng, Xuedong Huang

Joint speech-language training is challenging due to the large demand for training data and GPU consumption, as well as the modality gap between speech and language.

Language Modelling Multi-Task Learning +2

On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective

1 code implementation24 Dec 2022 Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang

The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems.

Decision Making Image Captioning +2

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks

1 code implementation6 Dec 2021 Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu

In this paper, we facilitate the research by providing large-scale datasets, and use them to examine the usage of the Decision Transformer in the context of MARL.

Offline RL reinforcement-learning +4

Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping

no code implementations1 Sep 2021 Chenyang Le, Jiebin Yan, Yuming Fang, Kede Ma

We describe a deep high-dynamic-range (HDR) image tone mapping operator that is computationally efficient and perceptually optimized.

Tone Mapping Vocal Bursts Intensity Prediction

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