K-L divergence based model clustering method for fast speaker identification

Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

Volumn 23, Issue 6, 2010, Pages 856-861

  Wang, Huan Liang ^a,b   Han, Ji Qing ^a   Zheng, Gui Bin ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Confidence measure; Internet environment; K L divergence; Model clustering; Speaker identification

Indexed keywords

AUDIO DATA; CLUSTERING METHODS; CONFIDENCE MEASURE; CONVENTIONAL METHODS; ERROR RATE; ERROR RATE REDUCTION; HIERARCHICAL IDENTIFICATION; INTERNET APPLICATION; INTERNET ENVIRONMENT; K-L DIVERGENCE; RECOGNITION EFFICIENCY; SPEAKER IDENTIFICATION; SPEAKER MODEL;

FACE RECOGNITION; INTERNET; LOUDSPEAKERS;

SPEECH RECOGNITION;

EID: 79952542661     PISSN: 10036059     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Campbell J P. Speaker recognition: A tutorial. Proc of the IEEE, 1997, 85(9): 1437-1462
2. Pellom B L, Hansen J H L. An efficient scoring algorithm for Gaussian mixture model based speaker identification. IEEE Signal Processing Letter, 1998, 5(11): 281-284
3. McLaughlin J, Reynolds D A, Gleeson T. A study of computation speed-ups of the GMM-UBM speaker recognition system // Proc of the 6th European Conference on Speech Communication and Technology. Budapest, Hungary, 1999: 1215-1218
4. Kinnunen T, Karpov E, Franti P. Real-time speaker identification and verification. IEEE Trans on Audio, Speech, and Language Processing, 2006, 14(1): 277-288
5. Jhanwar N, Raina A K. Pitch correlogram clustering for fast speaker identification. EURASIP Journal on Applied Signal Processing, 2004, 17: 2640-2649
6. Liu Wenju, Sun Bin, Zhong Qiuhai. Research on hierarchical speaker recognition based on speaker clustering technology. Acta Electronica Sinica, 2005, 33(7): 1230-1233 (in Chinese)
7. Xiong Zhenyu, Zheng T F, Song Zhanjiang, et al. Combining selection tree with observation reordering pruning for efficient speaker identification using GMM-UBM // Proc of the IEEE International Conference on Acoustics, Speech and Signal Processing. Philadelphia, USA, 2005: 625-628
8. Aronowitz H, Burshtein D. Efficient speaker recognition using approximated cross entropy (ACE). IEEE Trans on Audio, Speech and Language Processing, 2007, 15(7): 2033-2043
9. Apsingekar V R, Leon P L D. Efficient speaker identification using speaker model clustering // Proc of the 16th European Signal Processing Conference. Lausanne, Switzerland, 2008: 64-68
10. Shangguan Wei, Dai Beiqian. Speaker clustering based likelihood scores fusion robust speaker verification. Journal of Lanzhou University: Natural Sciences, 2008, 44(3): 81-86 (in Chinese)
11. Kullback S, Leibler R A. On information and sufficiency. Annals of Mathematical Statistics, 1951, 22(1): 79-86
12. Goldberger J, Gordon S, Greenspan H. An efficient image similarity measure based on approximations of KL-divergence between two Gaussian mixtures // Proc of the 9th International Conference on Computer Vision. Nice, France, 2003: 370-377
13. Wang Huanliang, Han Jiqin, Zheng Tieran. Approximation of Kullback-Leibler divergence between two Gaussian mixture distributions. Acta Automatica Sinica, 2008, 34(5): 529-534 (in Chinese)