參考文獻 |
[1] Jongseo Sohn, Nam Soo Kim and Wonyong Sung, "A statistical model-based voice activity detection," in IEEE Signal Processing Letters, vol. 6, no. 1, pp. 1-3, Jan. 1999.
[2] Steven Bo Davis and Paul Mermelstein, "COMPARISON OF PARAMETRIC REPRESENTATIONS FOR MONOSYLLABIC WORD RECOGNITION IN CONTINUOUSLY SPOKEN SENTENCES", IEEE Transactions on Acoustics, Speech and Signal Processing, Status Report on Speech Research SR-61 (1980)
[3] CRV "2010 A short tutorial on Gaussian Mixture Models". by: Mohand Saïd Allili Université du Québec en Outaouais
[4] Jeff A. Bilmes, "A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models", U.C. Berkeley, INTERNATIONAL COMPUTER SCIENCE INSTITUTE, April 1998
[5] Christopher D. Manning, Hinrich Schűtze, Foundations of Statistical Natural Language Processing, Fourth printing, The MIT Press, 2001.
[6] L. R. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications inSpeech Recognition”, Proc. of IEEE, 77(2), pp. 257-285, February 1989.
[7] https://mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf
[8] https://kaldi-asr.org/doc/model.html
[9] A. Weigel and F. Fein, "Normalizing the weighted edit distance," Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5), Jerusalem, Israel, 1994, pp. 399-402 vol.2.
[10] https://en.wikipedia.org/wiki/Levenshtein_distance
[11] https://www.cnblogs.com/xiongzaiqiren/p/4997947.html
[12] K. Kaur and N. Jain, "Performance analysis of text-dependent speaker recognition system based on template model based classifiers," 2015 International Conference on Signal Processing, Computing and Control (ISPCC), Waknaghat, 2015, pp. 36-39.
[13] D. A. Reynolds and R. C. Rose, "Robust text-independent speaker identification using Gaussian mixture speaker models," in IEEE Transactions on Speech and Audio Processing, vol. 3, no. 1, pp. 72-83, Jan. 1995.
[14] S. Laxman and P. S. Sastry, "Text-dependent speaker recognition using speaker specific compensation," TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region, Bangalore, India, 2003, pp. 384-387 Vol.1.
[15] D. Burton, "Text-dependent speaker verification using vector quantization source coding," in IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 35, no. 2, pp. 133-143, February 1987.
[16] D. D. T. Thu, L. T. Van, Q. N. Hong and H. P. Ngoc, "Text-dependent speaker recognition for vietnamese," 2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR), Hanoi, 2013, pp. 196-200.
[17] Sayana P Babu, Jayadas C K, 2015, GMM Based Speaker Verification System, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 04, Issue 04 (April 2015)
[18] Mahboob, Tahira & Khanam, Memoona & Khiyal, Malik & Bibi, Ruqia. (2015). Speaker Identification Using GMM with MFCC. International Journal of Computer Science Issues. 12. 126-135.
[19] Dave, Namrata. (2013). Feature extraction methods LPC, PLP and MFCC in speech recognition. International Journal For Advance Research in Engineering And Technology(ISSN 2320-6802). Volume 1.
[20] Chen Zhongbao, Yu Zhenli and Zhang Lihe, "Automatic speaker verification using the neural network and combined LPC parameters," Proceedings of TENCON ′93. IEEE Region 10 International Conference on Computers, Communications and Automation, Beijing, China, 1993, pp. 345-347 vol.3.
[21] K. Gopalan and S. S. Mahil, "Speaker identification using singular value decomposition of LPC spectral magnitudes," [1992] Proceedings of the 35th Midwest Symposium on Circuits and Systems, Washington, DC, USA, 1992, pp. 960-963 vol.2.
[22] M. Chougala and S. Kuntoji, "Novel text independent speaker recognition using LPC based formants," 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, 2016, pp. 510-513.
[23] Sharma, Rajib & Bhukya, Ramesh & Prasanna, S.R.M.. (2017). Analysis of the Hilbert Spectrum for Text-Dependent Speaker Verification. Speech Communication. 96. 10.1016/j.specom.2017.12.001.
[24] Islam, Md & Galib, An Nazmus Sakib. (2019). Bangla Dataset and MMFCC in Text-dependent Speaker Identification. 10.14456/easr.2019.7.
[25] Das, Rohan & Prasanna, S.. (2017). Speaker Verification from Short Utterance Perspective: A Review. IETE Technical Review. 1-19.
[26] Kong Aik Lee, Bin Ma, and Haizhou Li, "Text-dependent speaker verification: Classifiers, databases and RSR2015", Speech Communication Volume 60, May 2014, Pages 56-77
[27] I. Shahin and N. Botros, "Text-dependent speaker identification using hidden Markov model with stress compensation technique," Proceedings IEEE Southeastcon ′98 ′Engineering for a New Era′, Orlando, FL, USA, 1998, pp. 61-64.
[28] G. Kaur, N. Kumar, R. Khanna and A. Kumar, "Implementation of text dependent speaker verification on MATLAB," 2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), Chandigarh, 2015, pp. 1-4.
[29] Jeff A. Bilmes, "A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models", U.C. Berkeley, INTERNATIONAL COMPUTER SCIENCE INSTITUTE, April 1998
[30] https://www.raspberrypi.com.tw/10684/55/
[31] https://www.bayometric.com/false-acceptance-rate-far-false-recognition-rate-frr/ |