教育背景

1995-1999 清华大学 本科

1999-2002 清华大学 硕士

2006-2010 爱丁堡大学 博士

工作履历

2002-2004 Oracle中国软件工程师

2004-2006 IBM中国高级软件工程师

2006-2010 英国爱丁堡大学玛丽-居里研究员

2010-2011 法国EURECOM博士后研究员

2011-2012 美国Nuance公司高级研究科学家

2012-2017 清华大学助理研究员/信研院语音和语言技术中心副主任

2017- 清华大学副研究员

学术兼职

2012- 全国人机语音通讯会议（NCMMSC）秘书长

2017- 亚太信号与信息处理联盟（APSIPA）语音语言分会主席

研究领域

语音信息处理

研究概况

语音信号中包含丰富信息，是便捷高效的人机交互方式。通过对语音信号中所包含的信息进行理论建模，实现对语音信息的分解与重构，有望实现普适的语音信息处理方法，极大提高多种语音处理任务的精度，例如有效的识别与合成。

学术成果

专著：

1. 《人工智能》，清华大学出版社，2019，ISBN: 978-7-302-53187-6

论文摘选：

1. Yang Wang, Dong Wang, "Market Symmetry and Its Application to Pattern-Matching-Based Portfolio Selection", The Journal of Financial Data Science, Spring 2019, 1 (2) 78-93.

2. Zhiyuan Tang, Dong Wang, Yixiang Chen, Lantian Li, and Andrew Abel, "Phonetic Temporal Neural Model for Language Identification", IEEE Trans. on Speech and language Processing, vol.26, no.1, 2018, pp.134-144.

3. Zhiyuan Thang, Lantian Li, Dong Wang, Ravi Vipperla "Collaborative Joint Training with Multi-task Recurrent Model for Speech and Speaker Recognition", IEEE Trans. on Audio, Speech and Language Processing, vol. 25, no.3, March 2017.

4. Xi Ma, Dong Wang, Javier Tejedor "Similar Word Model for Unfrequent Word Enhancement in Speech Recognition," TASLP, vol 24, no. 10, 2016.

5. Shi Yin, Chao Liu, Zhiyong Zhang, Yiye Lin, Dong Wang, Javier Tejedor, Thomas Fang Zheng, Yinguo Li, "Noisy Training for Deep Neural Networks in Speech Recognition", EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING, 2015(2)

6. Dong Wang, Ravichander Vipperla, Nick Evans, Thomas Fang Zheng, "Online Non-negative Convolutive Pattern Learning for Speech Signals",IEEE trans. on signal processing. vol.61, no.1, pp.44-56.

7. Nick Evans, Simon Bozonnet, Dong Wang, Corinne Fredouille and Raphael Troncy, "A Comparative Study of Bottom-up and Top-down Approaches to Speaker Diarization ", IEEE Trans. on Audio, Speech and Language Processing,vol.20, no.2, 2012.

8. Dong Wang, Simon King, Joe Frankel, "Stochastic Pronunciation Modelling for Out-of-Vocabulary Term Detection", IEEE transaction on Acoustic, Speech and Language Processing, vol.18, no.8, November 2010.

9. Yang Zhang and Lantian Li and Dong Wang, "VAE-based regularization for deep speaker embedding", Interspeech 2019

10. Lantian Li,Zhiyuan Tang,Ying Shi,Dong Wang, "Gaussian-Constrained Training for Speaker Verification", ICASSP 2019

11. Lantian Li, Dong Wang, Yixiang Chen, Ying Shi, Zhiyuan Tang, "DEEP FACTORIZATION FOR SPEECH SIGNAL", ICASSP 2018.

12. Lantian Li, Zhiyuan Tang, Dong Wang, "FULL-INFO TRAINING FOR DEEP SPEAKER FEATURE LEARNING", ICASSP 2018.

13. Miao Zhang, Xiaofei Kang, Yanqing Wang, Lantian Li, Zhiyuan Tang, Haisheng Dai, Dong Wang, "HUMAN AND MACHINE SPEAKER RECOGNITION BASED ON SHORT TRIVIAL EVENTS", ICASSP 2018.

14. Yang Feng, Shiyue Zhang, Andy Zhang, Dong Wang, Andrew Abel, "Memory-augmented Neural Machine Translation", EMNLP 2017.

15. Lantian Li, Yixiang Chen, Dong Wang, Thomas Fang Zheng, "A Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification", Interspeech 2017.

16. Lantian Li, Yixiang Chen, Ying Shi, Zhiyuan Tang, Dong Wang, "Deep Speaker Feature Learning for Text-independent Speaker Verification", Interspeech 2017.

17. Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang, Andi Zhangi, "Flexible and Creative Chinese Poetry Generation Using Neural Memory", ACL 2017.

18. Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, and Shiyue Zhang, "Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition", ICASSP 2017.

人才培养

硕士生：刘超、汪洋、孙浩然

联合培养博士生：李蓝天、汤志远