“Asr-project-nsfc”版本间的差异
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− | + | The Multilingual Minorlingual Automatic Speech Recognition (M2ASR) project is state key project supported by the national natural science foundation of China (NSFC). It is a three-party collaboration, including Tsinghua University, Northwest Minzu University, and Xinjiang University. The aim of this project is to construct speech recognition systems for five minor languages in China (Tibetan, Mongolia, Uyghur, Kazak and Kirgiz). However, our ambition is beyond that | |
scope: we hope to construct a full set of linguistic and speech resources and tools for the 5 languages, and make them open and free for research purposes. We call this the M2ASR Free Data Program. | scope: we hope to construct a full set of linguistic and speech resources and tools for the 5 languages, and make them open and free for research purposes. We call this the M2ASR Free Data Program. | ||
2017年6月21日 (三) 11:17的版本
Introduction
The Multilingual Minorlingual Automatic Speech Recognition (M2ASR) project is state key project supported by the national natural science foundation of China (NSFC). It is a three-party collaboration, including Tsinghua University, Northwest Minzu University, and Xinjiang University. The aim of this project is to construct speech recognition systems for five minor languages in China (Tibetan, Mongolia, Uyghur, Kazak and Kirgiz). However, our ambition is beyond that
scope: we hope to construct a full set of linguistic and speech resources and tools for the 5 languages, and make them open and free for research purposes. We call this the M2ASR Free Data Program.
- This project is leading by Prof. Thomas Fang Zheng, and the research leader is Dr. Dong Wang.
- The logo of the project was designed by Dr. Zhiyuan Tang and Dr. Dong Wang.
Main people
Tsinghua University
- Thomas Fang Zheng, Project Leader
- Dong Wang, Project Research Leader
- Zhiyuan Tang
- Lantian Li
- Ying Shi
Northwest Minzu University University
- Hongzhi Yu
- Guanyu Li
- Shipeng Xu
Xinjiang University
- Askar Hamdulla
- Mijit Ablimit
Achievement