1 |
송영록, 김형순, "화자적응에서의 복수의 사전분포의 유용성", 제27회 음성통신 및 신호처리 학술대회 논문집, pp. 136-137, 2010.
|
2 |
송영록, 김형순, "MAPLR 기반의 화자적응에서의 weighted prior 적용", 2010 한국음성학회 가을 학술대회 발표논문집, pp. 136-137, 2010.
|
3 |
Y. Lim and Y. Lee, "Implementation of the POW (Phonetically Optimized Words) algorithm for speech database," in Proc. ICASSP, pp.89-91, 1995.
|
4 |
이용주, 김봉완, 김종진, 양옥렬, 임선영, "음성 DB용 PBW에 관한검토," 제12회 음성통신 신호처리 워크샵 논문집, pp. 310-314, 1995.
|
5 |
W. Chou, "Maximum a posterior linear regression with elliptically symmetric matrix variate priors," in Proc. Eurospeech, vol. 1, pp. 1-4, 1999.
|
6 |
C. Huang, T. Chen and E. Chang, "Transformation and combination of hidden Markov models for speaker selection training" in Proc. ICSLP, pp. 1001-1004, 2004.
|
7 |
L. Gillick and S. Cox, "Some statistical issues in the comparison of speech recognition algorithms," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., vol. 1, pp. 532-535, 1989.
|
8 |
T. J. Hazen, "A comparison of novel techniques for rapid speaker adaptation," Speech Communication, vol. 31, pp. 15-33, 2000.
DOI
ScienceOn
|
9 |
B. Mak, T.-C. Lai, and R. Hsiao, "Improving reference speaker weighting adaptation by the use of maximum-likelihood reference speakers," in Proc. ICASSP, pp. 229-232, 2006.
|
10 |
R. Kuhn, P. Nguyen, J. C. Jungua, L. Goldwasser, N. Niedzielski, S. Finche, K. Field and M. Contolini, "Eigenvoices for speaker adaptation," in Proc. ICSLP, pp. 1771-1774, 1998.
|
11 |
C. J. Leggetter and P. C. Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models," Computer Speech and Language, vol. 9, no. 1, pp. 171-185, 1995.
DOI
ScienceOn
|
12 |
R. Kuhn, J. C. Jungua, P. Nguyen, and N. Niedzielski, "Rapid speaker adaptation in eigenvoice space," IEEE Trans. Speech and Audio Processing, vol. 8, no. 6, pp. 695-707, 2000.
DOI
ScienceOn
|
13 |
M. Gales, "Cluster adaptive training of hidden Markov models," IEEE Trans. Speech Audio Process., vol. 8, no. 4, pp. 417-428, Jul. 2000.
DOI
ScienceOn
|
14 |
M. J. F. Gales, The Generation and Use of Regression Class Trees for MLLR Adaptation, Cambridge University, Cambridge, U. K., Tech. Rep. CUED/F-INFENG/TR263, 1996.
|
15 |
J. L. Gauvain and C. H. Lee "Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains," IEEE Trans. Speech and Audio Processing, vol. 2, no. 2, pp. 291-298, 1994.
DOI
ScienceOn
|