2002年取得中國科學技術大學“電子信息工程”專業(yè)學士學位；

2005年獲得中國科學技術大學“信號與信息處理”專業(yè)碩士學位；

2008年獲得中國科學技術大學“信號與信息處理”專業(yè)博士學位；

2007年10月至2008 年4 月，由Marie Curie Early Stage Training 項目支持，赴英國愛丁堡大學語音技術研究中心進行學術訪問；

2008年7月進入中國科學技術大學博士后流動站/安徽科大訊飛信息科技股份有限公司博士后工作站從事博士后科研工作；

2011年3月起任中國科學技術大學電子工程與信息科學系副教授。

1、語音信號處理

2、自然語言處理

先后作為主要技術人員參與“基于HMM模型的高表現力多語種語音合成技術”（國家863十一五專題課題）、“高表現力多語種韻律建模研究”（國家自然科學基金項目）、“多語言語音合成關鍵技術與應用產品開發(fā)”（國家863十一五重點項目子課題）等國家科研項目并承擔核心研究工作。作為項目負責人承擔的國家科研項目有 “基于合成語音質量評估的語音合成方法研究”(中國博士后科學基金項目)和“結合發(fā)音動作參數的統計建模語音合成方法研究”（國家自然科學基金青年科學基金項目）。

凌震華在圍繞語音合成的相關核心技術領域進行了近十年的深入研究，取得了一系列國際領先的研究成果，并對語音合成系統的實際性能提升與產業(yè)應用做出了積極貢獻。完成發(fā)明專利申請7項（2項已獲授權）；參與了IEEE Transactions on Audio Speech and Language Processing以及ICASSP/Interspeech/ISCSLP等語音信號處理領域主流國際學術期刊與會議的論文評審工作。

在國內外學術期刊與會議上發(fā)表學術論文共100余篇，并獲得2010年IEEE Signal Processing Society Young Author Best Paper Award。近五年發(fā)表的第一作者論文如下：

[1] Zhen-Hua Ling, Zhi-Guo Wang, Li-Rong Dai, “Statistical Modeling of Syllable-Level F0 Features for HMM-based Unit Selection Speech Synthesis”, in Proc. of ISCSLP, pp. 144-147, 2010.

[2] Zhen-Hua Ling, Yu Hu, and Li-Rong Dai, “Global Variance Modeling on the Log Power Spectrum of LSPs for HMM-based Speech Synthesis”, in Proc. of Interspeech, pp. 825-828, 2010.

[3] Zhen-Hua Ling, Korin Richmond, and Junichi Yamagishi, “HMM-based Text-to-Articulatory-Movement Prediction and Analysis of Critical Articulators”, in Proc. of Interspeech, pp. 2194-2197, 2010.

[4] Zhen-Hua Ling, Korin Richmond, and Junichi Yamagishi, “An analysis of HMM-based prediction of articulatory movements,” Speech Communication, vol. 52, no. 10, pp. 834-846, 2010.

[5] Zhen-Hua Ling, Korin Richmond, Junichi Yamagishi, and Ren-Hua Wang, “Integrating articulatory features into HMM-based parametric speech synthesis,” IEEE Transaction on Audio, Speech, and Language Processing, vol. 17, no. 6, 2009, pp. 1171-1185.

[6] Zhen-Hua Ling, Yu Hu, “An experimental study on the similarity performance of HMM-based parametric speech synthesis,” in Proc. of the 10th National Conference on Man-Machine Speech Communication, 2009.

[7] 凌震華, 王仁華, “基于統計聲學模型的單元挑選語音合成算法,” 模式識別與人工智能, vol. 21, no. 3, 2008, pp. 280-284.

[8] Zhen-Hua Ling, Heng Lu, Guo-Ping Hu, Li-Rong Dai, and Ren-Hua Wang, “The USTC entry for Blizzard Challenge 2008,” in Proc. of Blizzard Challenge workshop, 2008.

[9] Zhen-Hua Ling, Korin Richmond, Junichi Yamagishi, and Ren-Hua Wang, “Articulatory control of HMM-based parametric speech synthesis driven by phonetic knowledge,” in Proc. of Interspeech, 2008, pp. 573-576.

[10] Zhen-Hua Ling, Wei Zhang, and Ren-Hua Wang, “Cross-stream dependency modeling for HMM-based speech synthesis,” in Proc. of ISCSLP, 2008, pp. 5-8.

[11] Zhen-Hua Ling, and Ren-Hua Wang, “Minimum unit selection error training for HMM-based unit selection speech synthesis system,” in Proc. of ICASSP, pp. 3949-3952, 2008.

[12] Zhen-Hua Ling, Long Qin, Heng Lu, Yu Gao, Li-Rong Dai, Ren-Hua Wang, Yuan Jiang, Zhi-Wei Zhao, Jin-Hui Yang, Jie Chen, and Guo-Ping Hu, “The USTC and iFlytek speech synthesis systems for Blizzard Challenge 2007,” in Proc. of Blizzard Challenge workshop, 2007.

[13]　 Zhen-Hua Ling, and Ren-Hua Wang, “HMM-based hierarchical unit selection combining Kullback-Leibler divergence with likelihood criterion,” in Proc. of ICASSP, 2007, pp. 1245-1248.

[14]　 Zhen-Hua Ling, Yi-Jian Wu, Yu-Ping Wang, Long Qin, and Ren-Hua Wang, “USTC system for Blizzard Challenge 2006 - an improved HMM-based speech synthesis method,” in Proc. of Blizzard Challenge workshop, 2006.

[15] Zhen-Hua Ling, and Ren-Hua Wang, “HMM-based unit selection using frame sized speech segments,” in Proc. of Interspeech, 2006, pp. 2034-2037.