收稿日期: 2012-10-22
修回日期: 2013-03-22
网络出版日期: 2013-11-15
基金资助
国家自然科学基金(11004217,11074279)资助
A forensic automatic speaker recognition method based on improved GMM-UBM
Received date: 2012-10-22
Revised date: 2013-03-22
Online published: 2013-11-15
对基于高斯混合模型(GMM)的法庭自动说话人识别系统进行改进.通过参考人群数据库降低了对嫌疑人语音样本数量的需求.以小规模背景人群数据库建立改进的基于高斯混合模型-通用背景模型(GMM-UBM)的法庭自动说话人识别系统.以固定电话信道和移动手机信道的数据库进行了系统的测试.
关键词： 似然比; 法庭自动说话人识别; 高斯混合模型-通用背景模型
王华朋 , 杨军 , 吴鸣 , 许勇 . 一种改进的基于GMM-UBM的法庭自动说话人识别系统[J]. 中国科学院大学学报, 2013 , 30(6) : 800 -805 . DOI: 10.7523/j.issn.2095-6134.2013.06.013
We improved the forensic automatic speaker recognition(FASR) system based on GMM by applying the reference database to reduce the demands of suspect's recording quantity. We established an improved FASR system based on GMM-UBM, in which a small background population is used. The proposed system was tested in the database of fixed telephone channel and mobile channel, respectively.
[1] 武宁. 复杂信道下的说话人识别技术[D]. 上海:复旦大学, 2011.
[2] Wang H P, Yang J. The fusion of forensic speaker verification systems[C]//4th International Congress on Image and Signal Processing, CISP 2011. Shanghai, China, 2011.
[3] Morrison G S. Measuring the validity and reliability of forensic likelihood-ratio systems[J]. Science & Justice, 2011, 51(3): 91-98.
[4] Rose P. Forensic voice comparison with secular shibboleths: A hybrid fused GMM-multivariate likelihood ratio-based approach using alveolo-palatal fricative cepstral spectra[C]//36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011. Prague, Czech republic, 2011.
[5] Skerrett J, Neumann C, Mateos-Garcia I. A Bayesian approach for interpreting shoemark evidence in forensic casework: accounting for wear features[J]. Forensic science international, 2011, 210(1-3): 26-30.
[6] Morrison G S. Forensic voice comparison and the paradigm shift[J]. Science & Justice, 2009, 49(4): 298-308.
[7] Meuwly D, Drygajlo A. Forensic speaker recognition based on a Bayesian framework and Gaussian mixture modelling (GMM)[C]//A Speaker Odyssey-The Speaker Recognition Workshop. 2001.
[8] Alexander A, Drygajlo A. Scoring and direct methods for the interpretation of evidence in forensic speaker recognition[C]//8th international conference on spoken language processing (ICSLP 2004). Jeju, Korea, 2004.
[9] Brummer N, Preez J du. Application-independent evaluation of speaker detection[J]. Computer Speech & Language, 2006, 20(2/3): 230-275.
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