个人简介
刘庆峰，男，1973年2月出生于安徽泾县，科大讯飞董事长、安徽信息工程学院董事长。1990年考入中国科学技术大学，1998年获“通信与电子系统”专业硕士学位，2003年7月获“信号与信息处理”专业博士学位。中国科学技术大学兼职教授、博士生导师，1999年创办科大讯飞股份有限公司，并担任总裁至今，2009年4月起同时兼任董事长。
近期论文
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Jun Du, Jian-Fang Zhai, Jin-Shui Hu, Bo Zhu, Si Wei, and Li-Rong Dai, “Writer adaptive feature extraction based on convolutional neural networks for online handwritten Chinese character recognition,” Accepted by Proc. ICDAR 2015.
Jun Du, Yan-Hui Tu, Yong Xu, Li-Rong Dai, and Chin-Hui Lee, “Speech separation of a target speaker based on deep neural networks,” Proc. ICSP, 2014, pp.473-477.
Jun Du, “Irrelevant variability normalization via hierarchical deep neural networks for online handwritten Chinese character recognition,” Proc. ICFHR, 2014, pp.303-308.
Jun Du, Jin-Shui Hu, Bo Zhu, Si Wei, and Li-Rong Dai, “Writer adaptation using bottleneck features and discriminative linear regression for online handwritten Chinese character recognition,” Proc. ICFHR, 2014, pp.311-316.
Jun Du, Jin-Shui Hu, Bo Zhu, Si Wei, and Li-Rong Dai, “A study of designing compact classifiers using deep neural networks for online handwritten Chinese character recognition,” Proc. ICPR, 2014, pp.2950-2955.
Jun Du, Qing Wang, Tian Gao, Li-Rong Dai, and Chin-Hui Lee, “Robust speech recognition with speech enhanced deep neural networks,” Proc. INTERSPEECH, 2014, pp.616-620.
Jun Du and Qiang Huo, “Synthesized stereo mapping via deep neural networks for noisy speech recognition,” Proc. ICASSP, 2014, pp.1783-1787.
Jun Du and Qiang Huo, “An irrelevant variability normalization approach to discriminative training of multi-prototype based classifiers and its applications for online handwritten Chinese character recognition,” Pattern Recognition, Vol. 47, No. 12, pp.3959-3966, 2014.
Jun Du and Qiang Huo, “An improved VTS feature compensation using mixture models of distortion and IVN training for noisy speech recognition,” IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 22, No. 11, pp.1601-1611, 2014.
Jun Du and Qiang Huo, “A VTS-based feature compensation approach to noisy speech recognition using mixture models of distortion,” Proc. ICASSP, 2013, pp.7078-7082.
Jun Du and Qiang Huo, “An irrelevant variability normalization based discriminative training approach for online handwritten Chinese character recognition,” Proc. ICDAR, 2013, pp.69-73.
Jun Du and Qiang Huo, “A discriminative linear regression approach to adaptation of multi-prototype based classifiers and its applications for Chinese OCR,” Pattern Recognition, Vol. 46, No. 8, pp.2313-2322, 2013.
Jun Du and Qiang Huo, Kai Chen, “Designing compact classifiers for rotation-free recognition of large vocabulary online handwritten Chinese characters,” Proc. ICASSP, 2012, pp.1721-1724.
Jun Du and Qiang Huo, “A discriminative linear regression approach to OCR adaptation,” Proc. ICPR, 2012, pp.629-632.
Jun Du and Qiang Huo, “IVN-based joint training of GMM and HMMs using an improved VTS-Based feature compensation for noisy speech recognition,” Proc. INTERSPEECH, 2012.
Jun Du, Qiang Huo, Lei Sun, and Jian Sun, “Snap and translate using Windows Phone,” Proc. ICDAR, 2011, pp.809-813.
Jun Du, Yu Hu, and Hui Jiang, “Boosted mixture learning of Gaussian mixture hidden Markov models based on maximum likelihood for speech recognition,” IEEE Trans. on Audio, Speech and Language Processing, Vol. 19, No. 7,, pp.2091-2100, 2011.
Jun Du, and Qiang Huo, “A feature compensation approach using high-order vector Taylor series approximation of an explicit distortion model for noisy speech recognition,” IEEE Trans. on Audio, Speech and Language Processing, Vol. 19, No. 8, pp.2285-2293, 2011.
Jun Du, Li-Rong Dai, and Ren-Hua Wang, “Cepstral shape normalization (CSN) for robust speech recognition,” Journal of Chinese Information Processing, Vol. 24, No. 2, pp.104-110, 2010.
Jun Du, Yu Hu, Li-Rong Dai, and Ren-Hua Wang, “HMM-base pseudo-clean speech synthesis for SPLICE algorithm,” Proc. ICASSP, 2010, pp.4570-4573.
Jun Du, Yu Hu, and Hui Jiang, “Boosted mixture learning of Gaussian mixture HMMs for speech recognition,” Proc. INTERSPEECH, 2010, pp.2942-2945.
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