周若华
近期热点
资料介绍
个人简历
理学博士,北京建筑大学教授、博士生导师;2006年在瑞士联邦工学院(洛桑)获得理学博士学位。曾任职中科院声学研究所研究员/博士生导师,担任声纹识别、语种识别与音乐信号处理方向学术带头人。研究成果在国家相关部门与全国多个省(区/直辖市)推广应用;获得新疆自治区科技进步一等奖1项,中科院科技杰出成就奖1项。教育经历2001.05-2006.10 瑞士联邦工学院(洛桑),获理学博士学位1994.09-1997.07 中科院微电子所微电子专业,获硕士学位1990.09-1994.07 北京理工大学微电子专业,获学士学位工作经历2019.11-目前 北京建筑大学电信学院,教授2010.10-2019.10 中科院声学所,研究员2009.10-2010.10 中科院声学所,副研究员2007.06-2009.08 伦敦大学玛丽皇后学院,高级研究人员2001.05-2007.05 瑞士联邦工学院(洛桑),助理研究员2000.10-2001.03 摩托罗拉(中国),软件工程师1999.10-2000.09 安捷伦软件公司(中国),研究工程师1997.9-1999.09 中国华大集成电路设计中心,IC设计工程师科研获奖2013年 语音自动识别 获新疆自治区科技进步一等奖2014年 基于海云计算的智能处理系统研究 中科院科技杰出成就奖研究领域
(1)机器学习(2)语音及音乐信号处理(3)建筑声学近期论文
[1] Music Onset Detection Based on Resonator Time-frequency Image(2008). IEEE Transactions On Audio, Speech And Language Processing, vol. 16, num. 8, 2008, p. 1685-1695 . (SCI,IF=3.531)[2] A Computationally Efficient Method for Polyphonic Pitch Estimation(2009), EURASIP Journal on Advances in Signal Processing, Volume 2009 , Article ID 729494, 11 pages. (SCI,IF=1.749)[3] Polyphonic Piano Transcription with a Note-Based Music Language Model(2018), in: Applied Sciences, 8(3),470. (SCI, IF=2.231)[4] A Two-Stage Approach to Note-Level Transcription of a Specific Piano (2017), in: Applied Sciences, 7(9),901. (SCI,IF=2.231)[5] Window-Dominant Signal Subspace Methods for Multiple Short-Term Speech Source Localization (2017), in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25:4(731 - 744). (SCI,IF=3.531)[6] Phonotactic language recognition using dynamic pronunciation and language branch discriminative information (2015), in: Speech Communication, 75(50 - 61) (SCI,IF=1.661)[7] Discriminatively learned network for i-vector based speaker recognition(2018), in: IET Electronics Letters, 54:22(1302-1304) . (SCI,IF=1.343)[8] Speaker-Phonetic I-Vector Modeling for Text-Dependent Speaker Verification with Random Digit Strings (2019), in: IEICE TRANSACTIONS on Information and Systems, .E102-D:2(346-354) . (SCI,IF=0.576)[9] Robust speaker recognition using a library of cross-domain variation compensation transforms (2016), in: IET Electronics Letters, 52:4(321-323) . (SCI,IF=1.343)[10] Cross-domain variation compensation for robust speaker verification (2015), in: IET Electronics Letters, 51:21(1706-1707) . (SCI,IF=1.343)[11] Feature recovery for noise-robust speaker verification (2015), in: IET Electronics Letters, 51:18(1459-1461) . (SCI,IF=1.343)[12] Voice biometrics using linear Gaussian model(2014), in IET Biometrics ,3:1(9-15), 2014 (SCI, IF=2.092)[13] A General Bayesian Model for Speaker Verification (2016),in Chinese Journal of Electronics, 25:6,(1045-1051). (SCI, IF=0.945)[14] PLF Optimization for Target Language Detection (2017),in Chinese Journal of Electronics, 26:1(118-121). (SCI, IF=0.945)[15] Speaker Recognition Using Sparse Probabilistic Linear Discriminant Analysis(2013),in IEICE TRANS. fundmentals of Electronics Communications and Computer Sciences , E96–A:10(1938-1945) . (SCI, IF=0.368)[16] Automatic Piano Music Transcription Using Audio-Visual Features(2015),in Chinese Journal of Electronics, 24:3,(596-603). (SCI, IF=0.945)[17] Modeling prosodic features with probabilistic linear discriminant analysis for speaker verification(2014),in Shengxue Xuebao/Acta Acustica,40:1(28-33). (EI)[18] Gaussian PLDA for Speaker Verification and Joint Estimation(2014) , in Acta Automatica Sinica, 40(6): 1068-1074. (EI)[19] Enhanced Voice Activity Detection based on Automatic Segmentation and Event Classification (2014) , in Journal of Computational Information Systems,10:10(4169-4177). (EI)[20] Language recognition based on SVM 1 vs.1 classification(2013), in Qinghua Daxue Xuebao/Journal of Tsinghua University,53:6(808:812). (EI) 相关热点