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Academic Titles : 校学术委员会委员，教师、人才专委会主任（2015-2016），教学专委主任（2017-2018），科研专委主任（2019-2020）
Official Title : 信息学院学术委员会主任（2015-）
Honors and Titles : 1. 中国科学技术大学 惠普信息科学青年教师奖，1995 2. ATR 显著功绩表彰 2004 3. 教育部新世纪优秀人才 2010 4. 北京语言大学教育创新标兵 2014 5. 北京语言大学年度科研人物 2017 6. 北京语言大学年度科研人物 2018 7. 国务院特殊津贴人员 2018
Personal Profile
个人简历
张劲松，原籍安徽省肥西县，博士、教授、博士生导师，博士后合作导师，教育部新世纪优秀人才，国务院特殊津贴专家。现为北京语言大学信息科学学院教授，语言资源高精尖创新中心首席专家。北京语言大学校学术委员会委员（2015-），历任人才、教学、科研专门委员会主任，信息科学学院学术委员会主任（2015-）。曾任职教育部人文社科重点研究基地对外汉语研究中心、中国科学技术大学、日本国际电气通信基础技术研究所、日本情报通信机构等教学科研院所。全国人机语音通讯会议指导委员会学术交流组长，日本NiCT海外A级研究员。主要从事语音技术及智能语音教学技术等方向研究，主持和参与了包括中国国家自然科学基金、国家社科基金、教育部人文社科重点基地重大、国家语委、语言资源高精尖创新中心、日本总务省等部门支持的多项科研项目。在国际、国内发表学术论文200余篇，其中SCI/SSCI/CSSCI/EI/CPCI收录百余篇，申请/获得国外内国内科技发明专利十余项。
Journals
1. Chong Cao, Jinsong Zhang, Effects of Affricate’s Aspiration on Realization and Perception of Lexical Tones in Standard Chinese, Journal of Acoustic Society of America, vol. 146, issue 2, pp. 1036-1044, Aug. 2019. (SCI & SSCI)
2. 王振宇，解焱陆，张劲松。基于声学音素向量和孪生网络的二语者发音偏误确认，中文信息学报，2019，33（04）：132-139. (CSCD)
3. 曹冲，张劲松，鼻韵母元音对汉语普通话鼻韵母感知的影响[J].语言教学与研究,2019,03:103-112，(CSSCI).
4. 王玮，张劲松，汉语中介语语音库的文本设计，世界汉语教学，ISSN 1002-5804, Vol. 33, No. 1, 2019年1月5日，pp. 104-116. (CSSCI).
5. 韦林煊，陈月，张劲松，从功能负载的角度看ong与iong的“四呼”归属，中国语音学报，第十辑，中国社会科学出版社，2019年1月，pp.97-102.
6. Longfei Yang, Yanlu Xie and Jinsong Zhang，Pronunciation Erroneous Tendency Detection with Combination of Convolutional Neural Network and Long Short-Term Memory，International Journal of Asian Language Processing (IJALP), ISSN 0219-5968, Vol.28(2), Dec. 2108.
7. 张微，解焱陆，张劲松，汉语语音韵律强度的量化计算方法，南京师范大学文学院学报，ISSN：1008-9853（CN 32-1551/1），Vol. 92(4), pp.124-131. (CSSCI-扩展版收录), 2018年12月30日。
8. 魏巍，张劲松，一款汉语智能语音教学APP及教学实验初步结果，Journal of Technology and Chinese Language Teaching (科技与中文教学)，ISSN:1949-260X, Vol.9(2), pp. 83-97, Dec., 2018 （ESCI收录）.
9. 曹冲, 解焱陆, 张劲松，不同共振峰分布下元音对声调感知的影响，清华大学学报（自然科学版）. 2018, 58 (4): 352-356. DOI: 10.16511/j.cnki.qhdxxb.2018.25.023 (EI)
10. Ju Lin, Wei Li, Yingming Gao, Yanlu Xie, Nancy F. Chen, Sabato Marco, Siniscalchi, Jinsong Zhang & Chin-Hui, Lee,Improving Mandarin Tone Recognition Based on DNN by Combining Acoustic and Articulatory Features Using Extended Recognition Networks, Journal of Signal Processing Systems, Vol.90, No. 7, 特刊：SI，1077-1087，July.2018. (SCI)。
11. 魏星、王玮、陈静萍、解焱陆、张劲松，发音特征的汉语发音偏误自动标注，北京大学学报（自然科学版），第54卷第2期，2018年3月，pp.243-248. (EI)
12. Richeng DUAN, Tatsuya KAWAHARA, Masatake DANTSUJI, Jinsong ZHANG. (2017) Articulatory Modeling for Pronunciation Error Detection without Non-Native Training Data Based on DNN Transfer Learning. IEICE Transactions on Information and Systems E100.D:9, 2017, Sept, pages 2174-2182.（SCI & EI）
13. 解焱陆、张琦、郑爽、林举、张劲松，汉语中介语语料库声调标注方法初探，汉语国际教育学报（第二辑）（张旺熹主编），科学出版社，2017，7, pp.157-168.
14. 屈乐园，解焱陆，张劲松，基于发音特征的发音偏误趋势检测研究 北京大学学报, 2017，53(2): 239-246.（EI）
15. 张劲松，王祖燕，元音部分对中日被试鼻韵母知觉的影响，清华大学学报（自然科学版）ISSN1000-0054/CN 11-2223/N 2017年第57卷第2期，pp.164-169. （EI）
16. 解焱陆，张蓓，张劲松，基于音高映射合成语音的汉语双字调声调训练，清华大学学报（自然科学版）ISSN1000-0054/CN 11-2223/N 2017年第57卷第2期，pp.170-175.（EI）
17. 李艳萍、解焱陆、冯罗多、张劲松，基于连续统的汉语普通话前后鼻音关键声学线索初探，中国语音学报，李爱军主编，中国社会科学出版社，pp.89-94, 2016，12，北京。
18. 屈乐园、解焱陆、高迎明、魏星、张劲松，基于特征选择优化的p、t、k偏误自动检测研究，中国语音学报，李爱军主编，中国社会科学出版社，pp.95-100, 2016，12，北京。
19. 林举，解焱陆，张劲松，张微，基于声调核参数及DNN建模的韵律边界检测研究， 中文信息学报，Vol.30, No.6, Nov, 2016，pp.35-39. (CSCD)
20. 刘志敬，林举，张劲松，张维加，年龄和性别对北京话上声调中嘎裂声的影响 中国语音学报，李爱军主编，中国社会科学出版社，pp.32-37, 2016，10，北京。
21. 张劲松，高迎明，解焱陆，基于DNN的发音偏误趋势检测，清华大学学报（自然科学版）ISSN1000-0054/CN 11-2223/N 2016年第56卷第11期，pp.1220-1225. （EI）
22. Xiaoyun Wang, Jinsong Zhang, Masafumi Nishida, Seiichi Yamamoto, “Phoneme Set Design for Speech Recognition of English by Japanese”, IEICE Transactions on Information and Systems, Vol.E98-D, No.1, pp.148-156, Jan. 2015, (SCI & EI: 20150200415183).
23. 白双成，张劲松，呼斯勒，蒙古文输入法输入码方案研究，中文信息学报，ISSN1003-0077, CN11-2325, Vol.27, No.6, pp.169-174, 2013年12月.
24. 孙悦，张劲松，解焱陆，曹文，日本学生汉语阳平和上声的知觉训练—训练效果的初步分析，清华大学学报（自然科学版），Vol.53, No.6, pp.921-924, 2013年6月。(EI：20134416914721)
25. 刘敏，张劲松，李雅，陶建华，段日成，斜率相关参数对双音节阳平词的重音感知的影响，清华大学学报（自然科学版），Vol.53, No.6,pp.843-847, 2013年6月。(EI：20134416914705)
26. 解焱陆，张劲松等 基于分层增长语音活动检测的鲁棒性说话人识别 2012.07.1 Vol. 29 No. 4 深圳大学学报理工版 (EI)
27. 曹文，张劲松，“面向计算机辅助正音的汉语中介语语音语料库的创制与标注”，《语言文字应用》，2009，4. pp.122-131. (CSSCI)
28. Xiao-Dong Wang, Keikichi Hirose, Jin-Song Zhang, Nobuaki Minematsu, Tone Recognition of Continuous Mandarin Speech Based on Tone Nucleus Model and Neural Network, IEICE TRANSACTIONS on Information and Systems，2008, Vol.E91-D No.6 pp.1748-1755， (SCI: 315EP, EI: 20093312246762)
29. Zhang Jinsong，Takatoshi Jitsuhiro，Hirofumi Yamamoto，HU Xinhui，Satoshi Nakamura， An Introduction to Chinese Speech Recognition Frontend of NiCT/ATR Multi-Lingual Speech Translation System，Tsinghua Science and Technology, 2008 13(4), pp.545-552. (EI: 20083011406615)
30. Tohru Shimizu, Yutaka Ashikari, Eiichiro Sumita , Jinsong Zhang, Satoshi Nakamura, NICT-ATR Chinese-Japanese-English Speech-to-Speech Translation System, Tsinghua Science and Technology, 2008 13(4), pp.540-544. (EI: 20093312246629)
31. CAO Wen, ZHANG Jinsong， “A Perspective Study on the Tone-3 Accent in Chinese Intonation”，Tsinghua Science and Technology, 2008 13(4), pp.533-539 (EI: 20083011406613).
32. Jin-Song Zhang, Xin-hui Hu, Satoshi Nakamura, Using Mutual Information Criterion to Design An Efficient Phoneme Set For Chinese Speech Recognition, IEICE Transaction on INFO. & SYST., Vol.91-D, No. 3, pp.508-513，March 2008. (SCI: 282ZL, EI: 20093312246617)
33. Jin-Song Zhang, Satoshi Nakamura, An Improved Greedy Search Algorithm For The Development of A Phonetically Rich Speech Corpus, IEICE Transaction on INFO. & SYST., Vol.91-D, No. 3, pp.615-630, March 2008. (SCI:282ZL, EI: 20093312246629)
34. Satoshi Nakamura, Konstantin Markov, Hiromi Nakaiwa, Genichi Kikui, Hisashi Kawai, Takatoshi Jitsuhiro, Jin-Song Zhang, Hirofumi Yamamoto, Eiichiro Sumita and Seiichi Yamamoto, "The ATR multi-lingual speech-to-speech translation system", IEEE Trans. on Speech and Audio Processing, Vol.14(2), pp.365-376, March, 2006. (SCI:016IX, EI: 20071210493835)
35. Jin-Song Zhang, Satoshi Nakamura, Keikichi Hirose, "Tone Nucleus Based Multi-level Robust Acoustic Tonal Modeling of Sentential F0 Variations for Chinese Continuous Speech Tone Recognition", Elsevier Science, Speech Communication, Vol. 46(3-4), (2005) 440-454, (SCI:949QW, EI: 2005299221978)
36. Jin-Song Zhang, Keikichi Hirose, "Tone nucleus modeling for Chinese lexical tone recognition", Elsevier Science, Speech Communication, 42, pp.447-466, 2004. (SCI:814YB, EI: 2004178129328)
37. Jin-Song Zhang, Konstantin Markov, Tomoko Matsui and Satoshi Nakamura, "A study on acoustic modeling of pauses for recognizing noisy conversational speech", IEICE Transaction on INFO. & SYST., Vol.86-D, No. 3, March 2003. (SCI & SSCI:653EG, EI: 2003317578711)
38. Konstantin Markov, Tomoko Matsui, Rainer Gruhn, Jin-Song Zhang, and Satoshi Nakamura, "Noise and channel distortion robust ASR system for DARPA SPINE2 task", IEICE Transaction on INFO. & SYST., Vol.86-D, No. 3, March 2003. (SCI:653EG, EI: 2003317578712)
39. Shu-Wu Zhang, Jin-Song Zhang, "Towards Chinese-Japanese speech communication—ATR approach to recognizing Chinese Mandarin Speech", ATR Journal, No. 44, Summer, 2001.
40. 戴蓓倩，郁正庆，戴任飞，张劲松，王长富，司虎，“基于话者分类的HMM的话者自适应语音识别”，中国科学技术大学学报 ISSN:0253-2778, 1996, 26(2):147-153。
41. 王长富，林志钢，戴蓓倩，张劲松，“基于小波变换的语音基音周期检测”，中国科学技术大学学报 ISSN:0253-2778, 1995, 25(1): 47-52。
42. 戴蓓倩，朱斌，张劲松，王长富，李辉，“基于组合神经网络和模糊聚类的话者分类”，中国科学技术大学学报 ISSN:0253-2778, 1997, 27(1):25-
43. 戴蓓倩，郁正庆，张劲松，王长富，“基于FVQ和HMM模糊训练的语音识别方法”，中国科学技术大学学报 ISSN:0253-2778, 1994, 24(2):161-167。
44. 张劲松，戴蓓倩，“基于知识和模糊决策的连续语音的约束匹配”，中国科学技术大学学报 ISSN:0253-2778, 1993, 23(2):145-150。
Book chapters
45. 于晓敏、孙悦、张劲松、解焱陆、曹文, 知觉训练对初中级日本学生感知汉语声调的训练效果分析, 《汉语应用语言学研究》第三辑, 商务印书馆, 2014年7月，pp.126-134。
46. 张劲松, 邹婷，曹文，“中日被试阳平和上声的感知研究”，《汉语应用语言学研究》第二辑, 商务印书馆, pp.214-224, 2013年7月。
47. 孙悦，张劲松, 解焱陆，曹文，“日语母语者汉语阳平和上声的知觉训练”，《汉语应用语言学研究》第二辑, 商务印书馆, pp204-213, 2013年7月。
48. 侯玉霞, 张劲松, 曹文, “对外汉语语音教材内容客观评价之初步研究”, 《汉语应用语言学研究》第一辑, 商务印书馆, pp.135-143, 2012年10月。
49. 邹婷, 张劲松, 曹文，“中日发音人汉语二字调F0参数分布模式比较”，《汉语应用语言学研究》第一辑, 商务印书馆, pp.266-274,2012年10月。
50. 太田裕子,张劲松,曹文,“日本学生汉语普通话两字调的发音和感知研究”，《国际汉语教学理念与模式创新》，外语教学与研究出版社，pp.419-443, 2011,10.
51. 王东宁, 曹文, 张劲松，"对外汉语语音语料库的标注质量评价",《汉语国际教育“三教”问题探索》，外语教学与研究出版社，pp.332-343, 2010, 10.
52. 张劲松, 侯玉霞, 曹文, “连续语流中声学基元信息冗余度初考”, 《汉语国际教育“三教”问题探索》，外语教学与研究出版社，pp.372-385, 2010, 10.
53. ZHANG Jinsong, CAO Wen, "Studies on Chinese Tone Information Processing and Their Possible Implication for Automatic Pronunciation Training", 《现代语音学前沿文集》, 2009, 商务印书馆，pp.391-402.
54. Jin-Song Zhang, Satoshi Nakamura and Keikichi Hirose, "Tonal contextual F0 variations and anchoring based discrimination", 《汉语言文字学论丛》，北京语言大学出版社，pp.17-30, 2008.
55. 著作：汉语国际教育用音节汉字词汇等级划分（国家标准-应用解读本） （成员）（北京语言大学出版社2010）（主编：刘英林），2010年。
International conferences
56. Dan Du, Jinsong Zhang, The Production of Chinese Affricates /ts/ and /tsʰ/ by Native Urdu Speakers, InterSpeech 2019, Graz, Austria, Sept. 2019, (EI).
57. Zhenyu Wang, Yanlu Xie, Jingsong Zhang.A Study on Landmark Verification of Mandarin Alveolar-palatal Consonants[C] //Proceedings of International Symposium on Chinese Spoken Language Processing, ISCSLP 2018. (EI)
58. Zhenyu Wang, Yanlu Xie, Jingsong Zhang.L2 Mispronunciation Verification Based on Acoustic Phone Embedding and Siamese Networks[C] //Proceedings of International Symposium on Chinese Spoken Language Processing, ISCSLP 2018. (EI)
59. Wei Zhang, Qi Zhang, Yanlu Xie, Jinsong Zhang, LSTM-Based Pitch Range Estimation from Spectral Information of Brief Speech Input, The 11th ISCSLP, Taipei, Nov. 2018, (EI).
60. Ju Lin, Wei Zhang, Linxuan, Wei, Yanlu Xie, Jinsong Zhang, A Multi-modal Soft Targets Approach for Pronunciation Erroneous Tendency Detection, The 11th ISCSLP, Taipei, Nov. 2018, (EI).
61. Wei Zhang, Yanlu Xie, Jinsong Zhang, A Preliminary Study on Quantitative Calculation of Prosodic Strength in Mandarin Speech, The 11th ISCSLP, Taipei, Nov. 2018, (EI).
62. Wei Wang, Wei Wei, Yanlu Xie, Minghao Guo, Jinsong Zhang, Improve the Accuracy of Non-native Speech Annotation with a Semi-automatic Approach, The 11th ISCSLP, Taipei, Nov. 2018, (EI).
63. Longfei Yang, Yanlu Xie, Jinsong Zhang, Improving Mandarin Tone Recognition using Convolutional Bidirectional Long Short-Term Memory with Attention, InterSpeech 2018, 352-356, Hyderabad, India, Sept. 2018, (EI).
64. Yixin Zhang, Tianzhu Geng, Jinsong Zhang,Emotional Prosody Perception in Mandarin-speaking Congenital Amusics, InterSpeech 2018, 2196-2200, Hyderabad, India, Sept. 2018, (EI).
65. Lixia Hao, Wei Zhang, Yanlu Xie, Jinsong Zhang, A Preliminary Study on Tonal Coarticulation in Continuous Speech, InterSpeech 2018, 3017-3021, Hyderabad, India, Sept. 2018, (EI).
66. Chong Cao, Wei Wei, Wei Wang, Yanlu Xie, Jinsong Zhang, Interactions Between Vowels and Nasal Codas in Mandarin Speakers’ Perception of Nasal Finals, InterSpeech 2018, 3763-3767, Hyderabad, India, Sept. 2018, (EI).
67. Yue Sun, Win Thuzar Kyaw, Jinsong Zhang, Yoshinori Sagisaka, Analysis of L2 learners’ progress of distinguishing Mandarin Tone 2 and Tone 3, InterSpeech 2018, 2549-2553, Hyderabad, India, Sept. 2018, (EI).
68. Bin Wu, Sakriani Sakti, Jinsong Zhang, Satoshi Nakamura, Optimizing DPGMM Clustering in Zero-Resource Setting Based on Functional Load, The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 29-31 August 2018, Gurugram, India, pp.1-5, DOI: 10.21437/SLTU.2018-1.
69. Longfei Yang, Yanlu Xie, Jinsong Zhang, Applying Deep Bidirectional Long Short-Term Memory to Mandarin Tone Recognition, 14th IEEE International Conference on Signal Processing, (ICSP 2018), pp.1124-1127, Beijing, Aug. 2018, (EI).
70. Qi Zhang; Chong Cao; Tiantian Li; Yanlu Xie; Jinsong Zhang, Pitch Range Estimation With Multi Features And MTL-DNN Model, 14th IEEE International Conference on Signal Processing, (ICSP 2018), pp.939-943, Beijing, Aug. 2018, (EI).
71. Chengxia Wang, Jinsong Zhang, Yi Xu, Compressibility of Segment Duration in English and Chinese, 9th International Conference on Speech Prosody, 2018 13-16 June 2018, Poznań, Poland, pp.651-655. (EI)
72. Yanlu Xie, Xin Wei, Wei Wang, Jinsong Zhang, A Semi-manual Annotation Approach for Large CAPT Speech Corpus, Proceedings of Belt & Road Language Resources and Evaluation, Miyazaki, Japan, May, 2018
73. Chong Cao, Yanlu Xie, Jinsong Zhang, Acoustic Comparison of Vowel Articulation When Combined with Different Tone Categories in Mandarin, Oriental COCOSDA 2018, Miyazaki, Japan, May, 2018 (EI)
74. Wei Wang, Xing Wei, Jiawei Yu,Wei Wei, Yanlu Xie, Jinsong Zhang, The Blcu-Sait Speech Corpus Of Non-Native Chinese, Oriental COCOSDA 2018, Miyazaki, Japan, May, 2018.
75. Chuanying Niu, Jinsong Zhang, Xuesong Yang and Yanlu Xie，A Study on Landmark Detection Based on CTC and Its Application to Pronunciation Error Detection，the 9th annual conference of the Asia Pacific Signal and Information Processing Association (APSIPA), Kuala Lumpur, Malaysia, Dec. 2017, (EI).
76. Wei Zhang, Lixia Hao, Yanlu Xie, Jinsong Zhang，A study on Quantitative Computation for Prosodic Strength of Mandarin Speech， ，the 9th annual conference of the Asia Pacific Signal and Information Processing Association (APSIPA) , Kuala Lumpur, Malaysia, Dec. 2017, (EI)).
77. Yue Chen, Yanlu Xie, Jinsong Zhang, A Comparison Study of Information Contributions of Phonemic Contrasts in Mandarin, the 9th annual conference of the Asia Pacific Signal and Information Processing Association (APSIPA) , Kuala Lumpur, Malaysia, Dec. 2017, (EI).
78. Xing Wei, Jingping Chen, Wei Wang, Yanlu Xie and Jinsong Zhang, A Study of Automatic Annotation of PETs with Articulatory Features，the 9th annual conference of the Asia Pacific Signal and Information Processing Association (APSIPA) , Kuala Lumpur, Malaysia, Dec. 2017, (EI).
79. Longfei Yang, Yingming Gao, Yanlu Xie, Jinsong Zhang, Improving Pronunciation Erroneous Tendency Detection with Convolutional Long Short-Term Memory, The 21th International Conference on Asian Language Processing (IALP), Singapore, Dec. 2017, (EI).
80. Chong Cao, Yanlu Xie, Qi Zhang, Jinsong Zhang , The Influence on Realization and Perception of Lexical Tones from Affricate’s Aspiration, InterSpeech 2017, pp. 650-654, Stockholm, Sweden, Aug. 2017 (EI)
81. Lixia Hao, Wei Zhang, Yanlu Xie, Jinsong Zhang, Reanalyze Fundamental Frequency Peak Delay in Mandarin, InterSpeech 2017, pp. 3186-3190, Stockholm, Sweden, Aug. 2017 (EI)
82. Richeng Duan, Tatsuya Kawahara, Masatake Dantsuji, Jinsong Zhang，”Effective Articulatory Modeling For Pronunciation Error Detection Of L2 Learner Without Non-Native Training Data”, ICASSP2017, pp.5815-5819, March 2017. (EI)
83. Richeng Duan, Tatsuya Kawahara, Jinsong Zhang, Masatake Dantsuji, “Multi-lingual and Multi-task DNN learning for articulatory error detection”, APSIPA 2016. (EI)
84. Yingming Gao, Yanlu Xie, Ju Lin, Jinsong Zhang, “DNN based detection of pronunciation erroneous tendency in data sparse condition”, APSIPA 2016. (EI)
85. Ju Lin, Yanlu Xie, Wei Zhang, Jinsong Zhang, “Automatic Mandarin Prosody Boundary Detecting Based on Tone Nucleus Features and DNN Model”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
86. Feiya Li, Yanlu Xie, Xiaomin Yu, Jinsong Zhang, “A Study on Perceptual Training of Japanese CSL Learners to Discriminate Mandarin Lexical Tones”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
87. Shuju Shi, Yanlu Xie, Xiaoli Feng, Jinsong Zhang, “Automatic Detection of Rhythmic Patterns in Native and L2 Speech: Chinese, Japanese and Japanese L2 Chinese”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
88. Shuju Shi, Chiharu Tsurutani, Xiaoli Feng, Jinsong Zhang, Nobuaki Minematsu, “Acoustic Correlates and Gender Effects in Production and Perception of Japanese Polite Speech”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
89. Ju Lin, Yanlu Xie, Yingming Gao, Jinsong Zhang, “Improving Mandarin Tone Recognition Based on DNN by Combining Acoustic and Articulatory Features”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
90. Yue Chen, Yanlu Xie, Bin Wu, Jinsong Zhang, “A Study on Functional load of Chinese Prosodic Boundaries under Reduction of Syllable Information”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
91. Yanping Li, Yanlu Xie, Luoduo Feng, Jinsong Zhang, “The Perceptual Cues of Nasal finals in Standard Chinese”, Proceedings of The 10th International Symposium on Chinese Spoken Language Processing (ISCSLP 2016), Tianjin, Oct. 17-20, China. (EI).
92. Leyuan Qu, Yanlu Xie, Jinsong Zhang, “Senone Log-Likelihood Ratios Based Articulatory Features in Pronunciation Erroneous Tendency Detecting”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
93. Richeng Duan, Tatsuya Kawahara, Masatake Dantsuji, Jinsong Zhang, “Pronunciation Error Detection Using DNN Articulatory Model Based on Multi-Lingual and Multi-Task Learning”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
94. Chong Cao, Yanlu Xie, Ju Lin, Qian Li, Jinsong Zhang, “The Preliminary Study of Influence on Tone Perception from Segments”, Proc. of the 10th ISCSLP, Tianjin, Oct. 17-20, China. (EI).
95. Bin Wu, Yanlu Xie, Lulu Lu, Chong Cao, Jinsong Zhang, “The Construction of a Chinese Interlanguage Corpus”, 2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Technique (O-COCOSDA), ISBN:978-5090-3515-1, Bali, Indonesia, Oct.26-28, 2016, pp.183-187. (EI).
96. Nicolas Loerbroks, Yue Sun, Yoshinori Sagisaka, Jinsong Zhang, “Visualization of Mandarin Chinese Tone Production of Japanese L2 Learners for evaluation”, 2nd Workshop on Language Teaching, Learning & Technology, San Francisco, USA, 2016, Sept. DOI: 10.21437/LTLT.2016-1
97. Yue Sun, Shudon Hsiao, Yoshinori Sagisaka, Jinsong Zhang, “Analysis of Chinese Syllable Durations in Running Speech of Japanese L2 Learners”, InterSpeech, San Francisco, 2016, pp.215 – 819, (EI).
98. Ju Lin, Yanlu Xie, Jinsong Zhang, “Automatic Pronunciation Evaluation of Non-Native Mandarin Tone by Using Multi-Level Confidence Measures”, InterSpeech, San Francisco, 2016, pp.2666 – 2670, ISSN: 1990-9770, DOI: 10.21437/Interspeech.2016, (EI)
99. Yanlu Xie, Mark Hasegawa-Johnson, Leyuan Qu, Jinsong Zhang, “Automatic Pronunciation Evaluation of Non-Native Mandarin Tone by Using Multi-Level Confidence Measures”, IEEE International Conference on. IEEE, 2016: 5370-5374 (EI).
100. Yue Sun, Jinsong Zhang, Yoshinori Sagisaka, “Measuring Reaction Time of Chinese Tone Identification for Finer Evaluation of L2 Learner’s Proficiency”, Proc. Of the 18th Oriental Cocosda 2015, Oct.Shanghai, China.
101. Feiya Li, Shuju Shi, Jinsong Zhang, Yanlu Xie, “The Study Of Correlation Between Voice Quality Measurements And F0 Parameters Based On Monosyllabic Chinese Corpus”, Proc. Of the 18th Oriental Cocosda 2015, Oct.Shanghai, China.
102. Xijing Luo, Jinsong Zhang, Zuyan Wang, Hang Wang, “Coda’S Duration On Perception Of Mandarin Syllables With Alveolar/Velar Nasal Endings By Japanese Csl Learners”, Proc. Of the 18th Oriental Cocosda 2015, Oct.Shanghai, China, pp.150-154. INSPEC Accession Number: 15667964 DOI: 10.1109/ICSDA.2015.7357882 (EI)
103. Shuju Shi , Bei Peng, Jinsong Zhang, Yanlu Xie, “Cross-language Comparison of Speech Rhythm: Analysis of Rhythmic Patterns Using both Interval-based and Amplitude-based Measures in Native and L2 Speech”, Proc. Of the 18th Oriental Cocosda 2015, Oct.Shanghai, China.
104. Bin Wu, Yanlu Xie and Jinsong Zhang, “A Comparison Study On Contextual Modeling For Estimating Functional Loads Of Phonological Contrasts”, Proc. Of the 18th Oriental Cocosda 2015, Oct.Shanghai, China, pp.172-176, DOI: 10.1109/ICSDA.2015.7357886 (EI)
105. Lixia Hao, Jinsong Zhang, “Tentative Study On Mandarin Tone Perception By Japanese Children In Non-Target Language Environment——Based on an immersive Chinese learning program”, Proc. Of the 18th Oriental Cocosda 2015, Oct.Shanghai, China.
106. Peng Bei, Zhang Jinsong, Xie Yanlu, “The Annotation Of Break Of Neighboring Tone4 And Tone2 Based On Pitch Contour”, Proc. Of the 18th Oriental Cocosda 2015, Oct.Shanghai, China.
107. YingmingGao, Yanlu Xie, Wen Cao, Jinsong Zhang, “Study on Robust Detection of Pronunciation Erroneous Tendency Based on Deep Neural Network”, Proc. Of 16th Interspeech, Dresdon, Germany, Sep. 2015. Pp.693-696. (EI)
108. Xiaoyun Wang, Jinsong Zhang, Masafumi Nishida, Seiichi Yamamoto, “Phoneme Set Design Using English Speech Database by Japanese for Dialogue-Based English CALL Systems”, 9th International Conference on Language Resources and Evaluation (LREC 2014) Proceedings, Iceland, May 26-31, 2014, pp.3948-3951.
109. Chengxia Wang, Jinsong Zhang, “The Labeling of Break between Neighboring Tone 2 and Tone 4 Based on Pitch Contour”,17th Oriental Cocosda 2014, pp.194-199, Sept. 10-12. Thailand.
110. Bing Wu, Yanlu Xie, Jinsong Zhang, “A Clustering Analysis of Chinese Consonants Based on Functional Load”, The 7th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2014 (APSIPA 2014), Dec.9-12, Cambodia (EI).
111. 段日成，张劲松，解焱陆，曹文,“基于发音位置与发音方法的C2L汉语发音自动评测”，ISCSLP-NCMMSC Special Sessions at The 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014), pp.434-434, Sept.. 2014, Singapore, (CPCI/ISTP: WOS 000349765600110).
112. 王祖燕，张劲松，“元音部分对中日被试鼻韵母的知觉影响的研究”，ISCSLP-NCMMSC Special Sessions at The 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014), pp.433-433, Sept. 2014, Singapore, (CPCI/ISTP: WOS 000349765600109).
113. 解焱陆，张蓓，张劲松，“基于音高映射合成语音的汉语双字调声调训练”，ISCSLP-NCMMSC Special Sessions at The 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014), Sept. 2014, Singapore, (EI).
114. Xiaoli Feng, Yue Sun, Jinsong Zhang, Yanlu Xie, “A Study on the Long-term Retention Effects of Japanese C2L Learners to Distinguish Chinese Tone 2 and Tone 3 After Perceptual Training”,The 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014), pp.599-603, Sept. Singapore, (CPCI/ISTP: WOS 000349765600147, EI:20144900273123).
115. Shuju Shi, Jinsong Zhang, Yanlu Xie, “Cross-language Comparison of F0 range in speakers of native Chinese, native Japanese and Chinese L2 of Japanese: Preliminary Results of a Corpus-based Analysis”, The 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014), pp.241-244, Sept. Singapore, (CPCI/ISTP: WOS 000349765600050, EI:20144900274127).
116. Min Liu, Shuju Shi, Jinsong Zhang, “A Preliminary Study on Acoustic Correlates of Tone2+Tone2 Disyllabic Word Stress in Mandarin”, Proceedings of InterSpeech 2014 Sept. pp.179-182, (EI:20144600199770).
117. Richeng Duan, Jinsong Zhang, Wen Cao, Yanlu Xie, “A Preliminary Study on ASR-based Detection of Chinese Mispronunciation by Japanese Learners”, Proceedings of InterSpeech 2014 Sept. pp.1478-1481, (EI:20144600199284).
118. Jinsong Zhang，Yue Sun，Ting Zou，Xiaoyun Wang， Masafumi Nishida，Seiichi Yamamoto，“Improve Japanese C2L Learners’ Capability to Distinguish Chinese Tone 2 and Tone 3 Through Perceptual Training”，Oriental COCOSDA, 2013, Nov., India (EI).
119. Wei Li, Jinsong Zhang, Yanlu Xie, Xiaoyun Wang, Masafumi Nishida, Seiichi Yamamoto, “Using Mutual Information Criterion to Design an Effective Lexicon for Chinese Pinyin-to-Character Conversion”, Asian Language Processing (IALP), 2013 International Conference on, 2013/8/17-2013/8/19, pp 269-272, 2013. (EI)
120. Ting Zou, Jinsong Zhang, Wen Cao, A Comparative Study Of Perception Of Tone 2 And Tone 3 In Mandarin By Native Speakers And Japanese Learners, Proceedings of ISCSLP2012, pp.431-435, Hong Kong. Dec. 2012. (EI)
121. Yanlu Xie, Jinsong Zhang, etc Standard Speaker Selection in Speech Synthesis for Mandarin Tone Learning ITSE 2012.12.8 Springer, Heidelberg, Germany, (EI)
122. Shi Shuju, Zhang Jinsong, Xie Yanlu A Preliminary Study On Automatic Evaluation Of The Rhythm Of Chinese Spoken By Japanese Learners, Oriental COCOSDA 2012.12.9
123. Wen Cao, Yuko Ota, Hong Jiang, Lu Liu and Jinsong Zhang, Identification of Mandarin Tone-2 and Tone-3 in Disyllabic Contexts by Chinese Natives and Japanese Students, The 3rd International Symposium on Tonal Aspects of Languages, Nanjing, China, May, 2012.
124. Jinsong Zhang, Wei Li, Yanlu Xie, Wen Cao, A Quantitative Study on Information Contribution of Prosody Phrase Boundaries in Chinese Speech, The 6th International Conference on Speech Prosody, Shanghai China, May 22-25, 2012. (EI)
125. Ting Zou, Jinsong Zhang, Wen Cao, A Comparison Study on F0 Distribution of Tone 2 and Tone 3 in Mandarin Disyllables by Native Speakers and Japanese Learners, The 6th International Conference on Speech Prosody, Shanghai China, May 22-25, 2012.(EI)
126. Wei Li, Jinsong Zhang, Wen Cao, A Study On Functional Loads of Word Boundaries Based On Mutual Information of Chinese Text And Phonemes, 2011 RISP International Workshop on Nonlinear Circuits and Signal Processing, (NCSP11), Tianjin, China, March, 2011.
127. Jinsong Zhang, Wei Li, Yuxia Hou, Wen Cao, Ziyu Xiong, A Study On Functional Loads of Phonetic Contrasts Under Context Based On Mutual Information of Chinese Text And Phonemes, The 7th International Symposium on Chinese Spoken Language Processing (ISCSLP), Tainan, Nov. 2010，pp.194-198 ( EI: 20110713663284).
128. Jinsong Zhang, Dongning Wang, Wen Cao, Ziyu Xiong, A Distinctive Feature Based Method For Evaluating The Phonetic Transcription Of A Non-Native Speech Database, The 7th International Symposium on Chinese Spoken Language Processing (ISCSLP), Tainan, Nov. 2010, pp.416-419 (EI: 20110713663230).
129. Wen Cao, Dongning Wang, Jinsong Zhang(Corresponding Author), Ziyu Xiong，Developing A Chinese L2 Speech Database of Japanese Learners With Narrow-Phonetic Labels For Computer Assisted Pronunciation Training，InterSpeech2010, Tokyo, Japan, Sept. 2010, pp.1922-1925 (EI:20112714117612)
130. Xinhui Hu, Hirofumi Yamamoto, Jinsong Zhang, Keiji Yasuda, Youzheng Wu and Hideki Kashioka, “Utilization of Huge Written Text Corpora for Conversational Speech Recognition”, The 6th International Symposium on Chinese Spoken Language Processing (ISCSLP), Kunming, ISBN: 978-1-4244-2942-4, pp.97-100, 2008 Dec. (EI: 20091011939042, ISTP:BJA83).
131. Xiao-Dong Wang, K. Hirose, J.-S. Zhang, N. Minematsu, Tone recognition of continuous speech of statndard Chinese Assisted by MLP and Tone Nucleus Model, 2007 RISP International Workshop on Nonlinear Circuits and Signal Processing, (NCSP07), pp.571-574
132. Jin-Song Zhang, Xinhui-hu and Satoshi Nakamura, "Automatic Derivation of A Phoneme Set With Tone Information for Chinese Speech Recognition Based on Mutual Information Criterion", ICASSP 2006, Toulouse, France, May, 2006 (EI: 20071410525370, ISTP:BFZ22).
133. Jin-Song Zhang, Satoshi Nakamura and Keikichi Hirose, "Efficient tone classification of speaker independent continuous Chinese speech using anchoring based discriminating features", Proc. of International conference on spoken language processing (ICSLP) 2004, pp. 809-812.
134. Satoshi Nakamura, Konstantin Markov, Takatoshi Jitsuhiro, Jin-song Zhang, Hirofumi Yamamoto and Genichiro Kikui, "Multi-lingual speech recognition system for Speech-To-Speech Translation", Proceedings from International Workshop on Spoken Language Translation (IWSLT), Kyoto, Japan, Oct. 2004, pp.147-154.
135. Jin-Song Zhang, Keikichi Hirose, "A Study on robust segmentation and location of tone nuclei in Chinese continuous speech", Proc. of ICASSP, Vol. I, pp. 913-916, Montreal, Canada, May 2004.(EI: 2004408386262, ISTP:BAG99).
136. Jin-Song Zhang, Satoshi Nakamura and Keikichi Hirose, "Robust acoustic modeling of contextual tonal F0 variations on the basis of tone nucleus framework", International symposium on Tonal Aspects of Languages (TAL2004), Beijing, March, 2004, pp.239-242.
137. Jin-Song Zhang, Satoshi Nakamura and Keikichi Hirose, "Tonal contextual F0 variations and anchoring based discrimination", International congress on Speech Prosody (SP2004), Nara, Japan, March, 2004, pp.525-528.
138. Jin-Song Zhang, Keikichi Hirose and Satoshi Nakamura, "A multilevel framework to model the inherently confounding nature of sentential F0 contours for recognizing Chinese lexical tones", IEEE international conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. I, pp.776-780, Hong Kong, 2003. (EI: 2003397648854, ISTP:BX44W).
139. Jin-Song Zhang and Satoshi Nakamura, "An efficient algorithm to search for a minimum sentence set for collecting speech database", International Congress on Phonetic Science (ICPhS), pp.3145-3148, Barcelona, Spain, August, 2003.
140. Jin-Song Zhang and Satoshi Nakamura, "Modeling varying pauses to develop robust acoustic models for recognizing noisy conversational speech", Proc. of International conference on Spoken Language Processing (ICSLP) 2002, pp.2601-2604, Denver, U.S., September, 2002.
141. Sheng Gao, Jin-Song Zhang, Satoshi Nakamura, Chin-hui Lee and Tat-seng Chua, "Weighted graph based decision tree optimization for high accuracy acoustic modeling", Proc. of ICSLP 2002, pp.1233-1236.
142. J.-S. Zhang, Sh.-W. Zhang, Y. Sagisaka, and S. Nakamura, “A hybrid approach to enhance task portability of acoustic models in Chinese speech recognition”, Proc. of Eurospeech2001, Denmark, Sept. 2001. Vol.3, pp.1661-1663.
143. J.-S. Zhang, S. Nakamura and K. Hirose, “Discriminating Chinese lexical tones by anchoring F0 features”, Proc. of ICSLP2000, Beijing, China, Oct. 2000. Vol. II, pp.87-90.
144. J.-S. Zhang, K. Hirose, “Anchoring hypothesis and its application to tone recognition of Chinese continuous speech”, Proc. of ICASSP2000, Istanbul, Turkey, June, 2000, Vol. III, pp1419-1422. (EI: 2000505385626, ISTP:BQ62X).
145. J.-S. Zhang, H. Kawanami, “Modeling Carryover and Anticipation effects for Chinese tone recognition”, Proc. of Eurospeech’99, Budapest, Hungary, Sep. 1999. pp.747-750.
146. K. Hirose, J.-S. Zhang, “Tone recognition of Chinese continuous speech using Tone Critical segments”, Proc. of Eurospeech’99, Budapest, Hungary, Sep. 1999. pp.879-882.
147. J.-S. Zhang, G. Kawai, K. Hirose, “Subsyllabic tone units for reducing physiological effects in automatic tone recognition for connected Mandarin Chinese”, Proc. from International Congress on Phonetic Science (ICPhS) XIV, San Francisco, USA, Aug. 1999, pp.2367-2370.
148. J.-S. Zhang, K. Hirose, “A robust tone recognition method of Chinese based on sub-syllabic F0 contours”, ICSLP98, Sydney, Australia, Dec. 1998, pp. 703-706.
149. C.-F. Wang, B-q Dai, J.-S. Zhang, H. Li, Y. Liu, "Scheme for high quality linear prediction analysis of speech", Proceedings from International Conference on Signal Processing, ICSP, Vol. 1, 1996, pp.694-697. (EI: 1997153529905).
150. J.-S. Zhang, B-q Dai, C-f Wang, H-k Kwan, K. Hirose, “Adaptive Recognition Method Based on Posterior Use of Distribution Pattern Of Output Probabilities”. ICSLP96, Oct. 1996, pp.1129-1132. (EI: 1997403776989).
151. J.-S. Zhang, B-q Dai, S. Xu, “Introduction of Consonant Duration Rules to Chinese Syllable Recognition”, Japan-China Symposium on Advanced Information Technology, Univ. of Tokyo, Tokyo, Sep., 1994, pp.49-54.
152. J.-S. Zhang, B-q Dai, “Study on Improvement of Robustness of A Chinese Isolated Word Recognition System Based on SCHMM”, Proceedings of International Conference on Signal Processing, Beijing, China. Oct. 1993, pp. 658-661.
Domestic conferences(中国/日本)
153. 韦林煊，陈月，张劲松, 从功能负载的角度看ong与iong的“四呼”归属, 第十三届全国语音学学术会议PCC2018，（推荐至中国语音学报）广州暨南大学，2018年11月。
154. 及转转，冯晓莉，张劲松，“智能语音教学APP”有效性评估的实验初探，第十三届全国语音学学术会议PCC2018，广州暨南大学，2018年11月。
155. 彭文杰，张劲松，基于不同帧长、帧移的自动语音切分，第十三届全国语音学学术会议PCC2018，广州暨南大学，2018年11月。
156. 于嘉威，解焱陆，张劲松，基于X-vectors的鲁棒的语种识别技术研究，第十三届全国语音学学术会议PCC2018，广州暨南大学，2018年11月。
157. 蔡 睿，张劲松，基于行为数据/延时测的智能语音教学技术反馈效果评估—以普通话前后鼻韵母为例，第十三届全国语音学学术会议PCC2018，广州暨南大学，2018年11月。
158. 张微，张琦，解焱陆，张劲松，一种基于LSTM和短语音频谱参数的话者调域估计方法，第十三届全国语音学学术会议PCC2018，广州暨南大学，2018年11月。
159. 魏巍，张劲松，“尔雅中文”智能语音教学APP 及学生使用行为初探，第十三届全国语音学学术会议PCC2018，广州暨南大学，2018年11月。
160. 魏星，王玮，陈静萍，解焱陆，张劲松，基于发音特征的汉语发音偏误自动标注，The Sixth Conference on Natural Language Processing and Chinese Computing(NLPCC 2017)，并推荐至北京大学学报（自然科学版 EI），2017年11月
161. 曹冲，解焱陆，张劲松，共振峰对声调感知的影响，荣获全国人机语音通讯学术会议最佳学生论文奖，并推荐至清华大学学报（自然科学版，EI）, 2017年10月。
162. 曹冲，解焱陆，张琦，张劲松，塞擦音送气对汉语普通话基频的影响，第14届全国人机语音通讯学术会议，2017年10月。
163. 张微，郝丽霞，张劲松，解焱陆，一种汉语韵律强度的量化方法，第14届全国人机语音通讯学术会议（推荐至中国语音学报），2017年10月。
164. 李艳萍、曹冲、解焱陆、张劲松，日本学生汉语普通话鼻音韵母知觉训练初探，第14届全国人机语音通讯学术会议，2017年10月。
165. 耿天竹，张艺馨，卢露露，张劲松，汉语失歌症者的情感语音感知研究，第14届全国人机语音通讯学术会议，2017年10月。
166. 郝丽霞，张微，解焱陆，张劲松，基于声调协同发音的间断标注方案，第14届全国人机语音通讯学术会议，2017年10月。
167. 郝丽霞，张微，解焱陆，张劲松，普通话声调的高音点漂移现象再分析，第14届全国人机语音通讯学术会议，2017年10月。
168. 王玮、张劲松，哈萨克斯坦学生汉语双音节声调产出初探，第14届全国人机语音通讯学术会议，2017年10月。
169. 牛传迎，解焱陆，张劲松，基于CTC的landmark检测及其在发音偏误检测中的应用，第14届全国人机语音通讯学术会议，2017年10月。
170. 杨龙飞，高迎明，解焱陆，张劲松，基于卷积神经网络的发音偏误趋势检测，第14届全国人机语音通讯学术会议，2017年10月。
171. 张琦，解焱陆，郑爽, 林举, 张劲松, “汉语中介语语料库声调标注方法初探”, 第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
172. 张微、解焱陆、熊子瑜、张劲松, “以前后鼻音连续统为例的基于Praat软件和STRAIGHT系统的共振峰合成实验”, 第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
173. 卢露露、吴斌、张劲松、解焱陆, “中介语语音语料库文本设计”, 第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
174. 林举，解焱陆，张微，张劲松, “基于声调核参数及DNN建模的韵律边界检测”, 第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
175. 李艳萍, 解焱陆, 冯罗多, 张劲松, “基于连续统的汉语普通话前后鼻音关键声学线索初探”, 第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
176. 曹 冲、解焱陆、林 举、张劲松, “声母、介音对声调感知影响初探”, 第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
177. 李飞亚、解焱陆、陈静萍、张劲松, 嗓音音质参数的信息传递功能研究, 第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
178. 屈乐园，解焱陆，高迎明，魏星，张劲松，“基于特征选择优化的p、t、k偏误自动检测研究”, 第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
179. 陈月，解焱陆，吴斌，张劲松，“汉语韵律边界在音节信息损失下的功能负载研究”，第十二届全国语音学学术会议PCC2016，内蒙古通辽，2016年7月。
180. 王祖燕，罗熙靖，张劲松，解焱陆，“普通话及日语含鼻音尾音节的时长研究”，第十三届全国人机语音通信学术会议NCMMSC，2015.
181. 刘志敬, 林举, 张劲松，张维佳，“年龄和性别对北京话上声调中嘎裂声的影响”，第十三届全国人机语音通信学术会议NCMMSC，2015.
182. 屈乐园, 解焱陆，张劲松，“基于关键线索的日本学生汉语鼻音偏误检测”，第十三届全国人机语音通信学术会议NCMMSC，2015.
183. 吕煌, 耿天竹，张劲松，“基于声调连续统的汉语失歌症者声调感知研究”，第十三届全国人机语音通信学术会议NCMMSC，2015.
184. 彭 蓓，张劲松，解焱陆，“基于声学参数的汉语普通话间断标注初探——以去声阳平组合为例”，第十三届全国人机语音通信学术会议NCMMSC，2015.
185. 李飞亚，许媛媛，张薇，时书菊，张劲松，解焱陆，“基于汉语单音节语料库的音质参数和F0参数关联性研究”，第十三届全国人机语音通信学术会议NCMMSC，2015.
186. 赵银花，李艳萍，张劲松，“韩国学生汉语普通话双音节中上声的产出研究”，第十三届全国人机语音通信学术会议NCMMSC，2015.
187. 高迎明，张劲松，解焱陆, “基于DNN的发音偏误趋势检测”, 第十三届全国人机语音通信学术会议NCMMSC，2015.
188. 汪成霞，刘敏，张劲松，“T2+T4与T4+T2韵律词中T4位置对调形的影响”，第十一届中国语音学学术会议(PCC2014)，乌鲁木齐，新疆大学，2014年8月。
189. 冯晓莉，孙悦，张劲松，“日本学生汉语阳平和上声知觉训练长效性研究”，第十一届中国语音学学术会议(PCC2014)，乌鲁木齐，新疆大学，2014年8月。
190. 时书菊，张劲松，解焱陆，“跨语言音高动态变化的对比研究”，第十一届中国语音学学术会议(PCC2014)，乌鲁木齐，新疆大学，2014年8月。
191. 王祖燕，张劲松，“鼻韵母各组成部分对中日被试的知觉影响研究”，第十一届中国语音学学术会议(PCC2014)，乌鲁木齐，新疆大学，2014年8月。
192. 高迎明，段日成，张劲松，解焱陆，“基于SVM的日本学生汉语送气辅音p、t、k偏误自动检测研究”，第十一届中国语音学学术会议(PCC2014)，乌鲁木齐，新疆大学，2014年8月8-10。
193. Xiaoyun Wang, Jinsong Zhang, Masafumi Nishida, Seiichi Yamamoto, “A Dialogue-Based English CALL System for Japanese”, NCMMSC 2013 。
194. 张劲松，汪航，王祖燕，解焱陆，曹文，元音部分对日本学习者感知普通话鼻韵母的影响，NCMMSC 2013 。
195. 段日成，张劲松，解焱陆，日本学生汉语发音方式偏误的自动评测初探，NCMMSC 2013 。
196. 吕煌，张劲松，“汉语母语背景失歌症者普通话声调感知能力初探”，NCMMSC 2013 。
197. 陈月，解焱陆，周照莲，俞雪萍，孙悦，张劲松，“基于卷积记忆模型的汉语知觉训练分析”，NCMMSC 2013 。
198. 刘敏，张劲松，李雅，陶建华，段日成，“斜率相关参数对T2+T2词重音感知的影响”，NCMMSC 2013 。
199. 孙悦，张劲松, 解焱陆，曹文，“日语母语者汉语阳平和上声的知觉训练—适应性知觉训练和高变异语音训练的训练作用初步分析”，NCMMSC 2013 。
200. 胡瀚，曹文，张劲松，普通话 “中轻重”词语感知的初步研究，NCMMSC 2013。
201. 时书菊，张劲松，解焱陆，“日本学生汉语发音节奏的自动评测初探”，NCMMSC 2013。
202. Jinsong Zhang, Wei Li, Xiaoyun Wang, Masafumi Nishida, Seiichi Yamamoto,“An MI Criterion Based Word Segmentation Method and Its Application to Chinese Pinyin-to-word Conversion”，IEICE General Conference, Gifu, Japan, March,2013. ISSN1349-1377。
203. Jinsong Zhang, Wei Li, Xiaoyun Wang, Masafumi Nishida, Seiichi Yamamoto, “A Preliminary Investigation on Improving Chinese Pinyin-to-Character Conversion Using MI Based Automatic Lexical Formation”, IEICE Technical Report, ISSN 093-5685, Vol. 112, No. 422, Jan, 2013. Pp.1-5.
204. Jinsong Zhang, Yue Sun, Ting Zou, Xiaoyun Wang, Masafumi Nishida, Seiichi Yamamoto, “A Study on Perceptual Training of Mandarin Tone 2 and Tone 3 by Japanese Learners”, IEICE Technical Report, ISSN 093-5685, Vol. 112, No. 422, Jan, 2013. Pp.7-12.
205. 曹文、彭金美、李润、樊蔷蔷、张劲松，普通话疑问程度的韵律表现，第十届中国语音学学术会议（PCC2012）,上海同济大学，2012，5。
206. 沈冬烨，时书菊，王佳，张劲松，中日语音节奏的声学特征对比研究，第十一届全国人机语音通讯学术会议，西安，西北工业大学，2011，10。
207. 李伟，张劲松，解炎陆，应悦，龙雨, 汉语韵律边界的功能负载研究，第十一届全国人机语音通讯学术会议，西安，西北工业大学，2011，10。
208. 侯玉霞, 曹文, 张劲松. 基于语境的汉语音位对比信息量调查研究[C]// 中国语音学学术会议. 2010.
209. Wang Dongning, Cao Wen, Zhang Jinsong, CONSISTENCY OF MANUAL ANNOTATION AND SEGMENTATION OF MANDARIN CHINESE SPOKEN BY JAPANESE LEARNERS, 第九届中国语音学学术会议论文集，天津南开大学，2010，5
210. 曹文，张劲松, 面向计算机辅助正音语音语料库的创制与标注, NCMMSC 论文集 2009，8
211. J.-S. Zhang and S. Nakamura, A study on Different Unit Based Chinese Langauge Models for Spontaneous Speech Recognition, Proc. of the he Acoustic Society of Japan (ASJ), 2007 Spring, March. pp.173-174
212. X.-D. Wang, K. Hirose, J.-S. Zhang, N. Minematsu, Zh.-Y. Jiang, Y.-R. Wang, and Y.-F. Liao, Tone recognition of continuous Mandarin speech based on tone nucleus model and neural network, IEICE Technical Report, NLC2006-47, SP2006-103, pp.107-112.
213. J.-S. Zhang, M. Fujimoto, W. Herbordt and S. Nakamura, "Speech Recognition Evaluation at ATR --- Chinese Acoustic Models", Proc. of the he Acoustic Society of Japan (ASJ), 2006 Spring, March. pp.183-184.
214. Zi-Yu Xiong, Ai-Jun Li, J.-S. Zhang and S. Nakamura, "A Case Study on Rhythmic Patterns of Prosodic Phrasing Using ATR Four Regional Accented Chinese Speech Database", Proc. of the he Acoustic Society of Japan (ASJ), 2006 Spring, March., pp. 381-382.
215. J.-S. Zhang and S. Nakamura, "Mutual Information Criterion based Phoneme Set Optimization for Lexicon Building of Chinese Speech Recognition System", Proc. of the he Acoustic Society of Japan (ASJ), pp.183-184, 2005 Fall.
216. J.-S. Zhang, M. Mizumachi, F. K. Soong and S. Nakamura, "An introduction to ATRPTH: a phonetically rich sentence set based Chinese Putonghua speech database developed by ATR", Proc. of the he Acoustic Society of Japan (ASJ), pp.167-168, 2003 Fall.
217. J.-S. Zhang, T. Matusi and S. Nakamura, "Robust Training of Japanese acoustic models from ATR phonetically balanced database", Proc. of the Acoustic Society of Japan (ASJ), pp.11-12, 2003 Spring.
218. J.-S. Zhang, S. Nakamura and K. Hirose, "Is tone recognition necessary for Chinese speech recognition—evidence from Pinyin-to-character conversion", Proc. of ASJ, Sept. 2002, pp.5-6.
219. J.-S. Zhang and S. Nakamura, "A bootstrap approach to develop statistical word segmentation system for Chinese", Proc. of ASJ, March, 2002, pp.75-76.
220. J.-S. Zhang, K. Markov, T. Matsui, R. Gruhn and S. Nakamura, "Developing robust baseline acoustic models for noisy speech recognition in SPINE2 project", Proc. of ASJ, March, 2002, pp.65-66.
221. K. Markov, T. Matsui, R. Gruhn, J.-S. Zhang and S. Nakamura, "ATR system for robust speech recognition in real world noisy and channel environments", Technical report of IEICE. SP2001-90(2001-12), pp.37-44.
222. J.-S. Zhang, K. Markov, T. Matusi and S. Nakamura, "Inter-word pauses modeling for recognizing noisy speech in SPINE2 project", Technical report of SLP, IPSJ, Vol. 2002, No. 10, pp.171-176.
223. J.-S. Zhang, and S. Nakamura, “Least-to-Most ordered search for minimum sentence set for collecting speech database”, Proc. of Fall meeting of Acoustics Society of Japan (ASJ), Oct. 2001, pp.145-146.
224. J.-S. Zhang, Sh.-W. Zhang, Y. Sagisaka, and S. Nakamura, “Chinese speech recognition based on clustered acoustic units”, Proc. of Spring meeting of Acoustics Society of Japan (ASJ), March, 2001. pp.186-187.
225. J.-S. Zhang, K. Usami, T. Matsui, and S. Nakamura, “A Design of Chinese Phonetically-balanced sentence set”, Proc. of Spring meeting of Acoustics Society of Japan (ASJ), March, 2001. pp.188-189.
226. J.-S. Zhang, Sh.-W. Zhang, Y. Sagisaka and S. Nakamura, “Modeling segmental context effect for Chinese Speech Recognition”, Information Processing Society Japan technical report, Vol.2001, No.11. pp.37-42.
227. Sh.-Wu. Zhang, J.-S. Zhang, S. Nakamura and Y. Sagisaka, “A preliminary investigation of sub-syllabic modeling for Chinese recognition based on HMnet”, Proc. of Fall meeting of Acoustics Society of Japan (ASJ), Sep. 2000.
228. J.-S. Zhang, K. Hirose, “Chinese tone nuclei detection based on sequential clustering and linear discriminant analysis”, IEICE technical report, Vol.99, No.525, Dec. 1999, pp.19-24.
229. J.-S. Zhang, K. Hirose, “Labeling tone coarticulation effects for Chinese lexical tone recognition”, Proc. of Fall meeting of Acoustics Society of Japan (ASJ), Sep. 1999, pp.1-2.
230. J.-S. Zhang, K. Hirose, “Modeling Downstep effect for Chinese lexical tone recognition”, Proc. of Fall meeting of ASJ, Sep. 1999, pp.3-4.
231. J.-S. Zhang, K. Hirose, “Modeling Contextual Tone Variations in F0 Contour for Chinese Tone Recognition”, Proc. of Spring meeting of ASJ, March, 1999, pp. 149-150.
232. J.-S. Zhang, K. Hirose, “Lexical tone recognition based on tone-critical segment”, Proc. of Spring meeting of ASJ, March, 1999, pp. 151-152.
233. J.-S. Zhang, K. Hirose, “Chinese tone recognition based on sub-syllabic F0 contours”, Proc. of Fall meeting of ASJ, Sept. 1998, pp.167-168.
234. J.-S. Zhang, B-q Dai, Z-q Yu, C-f Wang, “Study on Fuzzy Hidden Markov Modeling Techniques”, Proceedings of The Second National Conference on Man Machine Speech Communication, Guilin, China, Sept. 1992, pp.125-129.
235. J.-S. Zhang, B-q Dai, Z-q Yu, C-f Wang, “Study on Initialization of Hidden Markov Model Parameters”, Proceedings of The Second National Conference on Man Machine Speech Communication, Guilin, China, Sept. 1992, pp. 120-123.
236. Z-q Yu, B-q Dai, J.-S. Zhang, C-f Wang, “New Training Procedure of HMM Based on Fuzzy Observational Signal Sequences”, Proceedings of The Second National Conference on Man Machine Speech Communication, Guilin, China, Sept. 1992, pp. 130-133.
237. J.-S. Zhang, B-q Dai, “Continuous Speech Recognition and Understanding based on Knowledge and Fuzzy Strategy”, Proceedings of the 1st National Intelligence and Information Technology Conference, Beijing, Feb. 1992, pp.148-151.
学术报告（只做报告无论文出版）
1. 张劲松，大会报告，基于移动互联网平台的智能汉语语音教学技术研究，国际汉语教学与资源建设国际研讨会，北京语言大学，2018年12月15日。
2. 张劲松，大会报告，面向汉语国际教育的智能正音教学技术研究--尔雅中文正音APP的教学实验研究，The International Conference on English Phonetics Teaching in China (EPCC2018), 扬州大学，Sept, 2018.
3. 张劲松，大会报告， A Multi-modal Interlanguage Speech Corpus of Chinese as a Second Language， LREC workshop of Belt & Road Language Resources, 2018年5月9日，Miyazaki, Japan
4. 张劲松，大会报告，A Study on Intelligent Technology for Chinese Pronunciation Teaching， “语言资源构建——理论、方法与应用”国际研讨会，北京大学，2017年11月6日
5. 张劲松，大会报告，面向高效习得的智能语音教学技术研究，“语言与现代化”学术研讨会，澳门理工学院 2017年11月18日
6. 张蓓，彭蓓， 解焱陆，张劲松，“计算机辅助双字调声调教学的三种训练方法实验研究”，第11届对外汉语国际学术研讨会(ICCSL11)，银川，宁夏大学，2014年7月。
7. 张劲松，汪成霞，“焦点后阳平去声组合内部间断特征研究”，第11届对外汉语国际学术研讨会(ICCSL11)，银川，宁夏大学，2014年7月。
8. 时书菊，张劲松，解焱陆，“跨语言音域、音阶使用的对比研究”，第11届对外汉语国际学术研讨会(ICCSL11)，银川，宁夏大学，2014年7月。
9. 冯晓莉，孙悦，于晓敏，张蓓，张劲松，解焱陆，“知觉训练对日本学生习得汉语普通话声调的效果分析”，第11届对外汉语国际学术研讨会(ICCSL11)，银川，宁夏大学，2014年7月。
10. 王祖燕，张劲松，“汉日鼻韵尾音节的声学对比分析”，第11届对外汉语国际学术研讨会(ICCSL11)，银川，宁夏大学，2014年7月。
11. 于晓敏，李飞亚，解焱陆，张劲松，“日语母语者汉语声调知觉训练研究——阴平和阳平及阴平和去声”，第11届对外汉语国际学术研讨会(ICCSL11)，银川，宁夏大学，2014年7月。
12. 张劲松，大会报告，“音位、声调、边界的信息重要性比较--基于语境的功能负载计算”，“韵律特征和信息结构”言语认知加工中荷国际研讨会，北京，中科院心理所2014年6月16-17。
13. 王祖燕，张劲松，“元音部分对中日被试听辨普通话鼻韵母的影响的研究”，国际中国语言学年会第22届（IACL22），马里兰大学，2014年5月。
14. Bei Zhang, Yanlu Xie, Jinsong Zhang, “Facilitate Japanese Learners to Acquire Mandarin Tones by Perceptual Training Based On Pitch Replacement Technology”, 国际中国语言学年会第22届（IACL22），马里兰大学，2014年5月。
15. 张劲松，汪航，王祖燕，“鼻音尾时长对日本学习者感知普通话鼻韵母的影响的研究”，“基于多元理论的对外汉语教学模式研究”国际学术研讨会，呼和浩特，2013年7月。
16. 于晓敏、孙悦、张劲松、解焱陆、曹文，“知觉训练对初中级日本学生感知汉语声调的训练效果分析”，“基于多元理论的对外汉语教学模式研究”国际学术研讨会，呼和浩特，2013年7月。
17. 张蓓，解焱陆，张劲松，“基于音高替换技术的日本留学生汉语声调训练研究”，“基于多元理论的对外汉语教学模式研究”国际学术研讨会，呼和浩特，2013年7月。
专利授权
1. 名称：音声認識装置、自動翻訳装置、音声認識方法、プログラム、及びデータ構造, 公开号：特許公開２００９－６９２７６, 公開日:２００９年４月２日, 発明者: 張 勁松 外１名, 出願人：独立行政法人情報通信研究機構, 出願日:２００７年９月１１日, 出願番号:特許出願２００７－２３５３４３
2. 名称：音素単位セットを最適化する方法及びシステム, 特許公開２００６－１２６７３０, 公開日：２００６年５月１８日, 発明者：張 勁松 外２名, 出願人：株式会社国際電気通信基礎技術研究所, 出願番号：特許出願２００４－３１８２０８, 出願日：２００４年１１月１日
3. 名称：中国語の声調分類装置及び中国語のＦ０生成装置, 特許公開２００５－２６５９５５, 公開日：２００５年９月２９日, 発明者：チョウ キンソン 外２名, 出願人：株式会社国際電気通信基礎技術研究所, 出願番号：特許出願２００４－７４５９４, 出願日：２００４年３月１６日
4. 名称：音声認識システム, 特許公開２００２－２２９５９０, 公開日：２００２年８月１６日, 発明者：チョウ・キンソン 外３名, 出願人：株式会社エイ・ティ・アール音声言語通信研究所, 出願番号：特許出願２００１－２５６１４, 出願日：２００１年２月１日
5. 名称：音声データベース用文セットの選択方法, 特許公開２００２－２６８６７２, 公開日：２００２年９月２０日, 発明者：チョウ・キンソン 外2名, 出願人：株式会社エイ・ティ・アール音声言語通信研究所, 出願番号：特許出願２００１－７０５６０, 出願日：２００１年３月１３日
6. 解焱陆,张劲松 利用语音进行座席筛选的方法及系统 专利号：201210210943.8，授权公告2015年2月18日
7. 解焱陆,张劲松 汉语教学语音合成方法及装置 专利号：ZL 2012 1 0207692.8，授权公告2014年7月9日
8. 张劲松,时书菊,解焱陆 一种基于发音节奏的语音评测方法及装置，专利号：201210473420.2，授权公告2015年2月11日
9. 张劲松,孙悦,解焱陆,曹文 一种汉语语音训练系统及汉语语音训练方法，专利号：ZL 2012 1 0436374.9，授权公告2014年12月10日
10. 张劲松,李伟,解焱陆,曹文 汉语音字转换方法及系统、区分性词典的构建方法，专利号：201210202471.1，授权公告2015年2月25日
11. 解焱陆，张劲松，一种测定感知参数的区分性的方法及系统，专利号：2014104488673，授权公告2017年12月26日
12. 张劲松，林举，解焱陆，一种声调评估方法，申请号：201610757767.8，申请日：2016年8月29日，授权公告2019年6月7日。
13. 张劲松、郝丽霞、解焱陆、时书菊、曹文，前后鼻韵母的参数合成方法及感知范畴测量方法、装置，申请号：201610149425.8，申请日：2016年3月16日，授权日2019年8月16日