-
1
-
-
85041932998
-
Maximum likelihood identification of gaussian autoregressive moving average models
-
H. Akaike, “Maximum likelihood identification of gaussian autoregressive moving average models,” Biometrica, vol, 60, no. 2, pp. 255–265, 1973.
-
(1973)
Biometrica
, vol.60
, Issue.2
, pp. 255-265
-
-
Akaike, H.1
-
3
-
-
0016663359
-
The dragon system—an overview
-
Feb.
-
J. K. Baker, “The dragon system—an overview,” IEEE Trans, on Acoust., Speech and Signal Proc., vol. ASSP-23, pp. 24–29, Feb. 1975.
-
(1975)
IEEE Trans, on Acoust., Speech and Signal Proc.
, vol.ASSP-23
, pp. 24-29
-
-
Baker, J.K.1
-
4
-
-
0000353178
-
A maximization technique in the statistical analysis of probabilistic functions of finite state Markov chains
-
L. E. Baum, T. Petrie, G. Soules, and N. Weiss, “A maximization technique in the statistical analysis of probabilistic functions of finite state Markov chains,” Ann. Math. Stat., vol. 41, pp. 164–171, 1970.
-
(1970)
Ann. Math. Stat.
, vol.41
, pp. 164-171
-
-
Baum, L.E.1
Petrie, T.2
Soules, G.3
Weiss, N.4
-
7
-
-
0002629270
-
Maximum likelihood estimation from incomplete data
-
A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood estimation from incomplete data,” J. Royal Stat. Soc. (B), vol. 39, no. 1, pp. 1–38, 1977.
-
(1977)
J. Royal Stat. Soc. (B)
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
8
-
-
0003938589
-
Segment-based stochastic models of spectral dynamics for continuous speech recognition
-
Ph.D. dissertation, E.C.S. Department, Boston University
-
V. Digalakis, “Segment-based stochastic models of spectral dynamics for continuous speech recognition,” Ph.D. dissertation, E.C.S. Department, Boston University, 1992.
-
(1992)
-
-
Digalakis, V.1
-
9
-
-
85122642688
-
Improvements in the stochastic segment model for phoneme recognition
-
Oct
-
V. Digalakis, M. Ostendorf, and J. R. Rohlicek, “Improvements in the stochastic segment model for phoneme recognition,” in Proc. 2nd DARPA Workshop on Speech and Natural Language, pp. 332–338, Oct. 1989.
-
(1989)
Proc. 2nd DARPA Workshop on Speech and Natural Language
, pp. 332-338
-
-
Digalakis, V.1
Ostendorf, M.2
Rohlicek, J.R.3
-
10
-
-
0026991192
-
Fast algorithms for phone classification and recognition using segment-based models
-
Dec
-
V. Digalakis, M. Ostendorf, and J.R. Rohlicek, “Fast algorithms for phone classification and recognition using segment-based models,” IEEE Trans. Signal Processing, vol. 40, pp. 2885–2896, Dec. 1992.
-
(1992)
IEEE Trans. Signal Processing
, vol.40
, pp. 2885-2896
-
-
Digalakis, V.1
Ostendorf, M.2
Rohlicek, J.R.3
-
11
-
-
0026397875
-
A dynamical system approach to continuous speech recognition
-
Toronto, Canada, May
-
V. Digalakis, J. R. Rohlicek, and M. Ostendorf, “A dynamical system approach to continuous speech recognition,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 289–292, Toronto, Canada, May 1991.
-
(1991)
Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing
, pp. 289-292
-
-
Digalakis, V.1
Rohlicek, J.R.2
Ostendorf, M.3
-
12
-
-
0026205299
-
Filtering of colored noise for speech enhancement and coding
-
Aug
-
J. D. Gibson, B. Koo, and S. D. Gray, “Filtering of colored noise for speech enhancement and coding,” IEEE Trans, on Signal Processing, vol. 39, pp. 1732–1742, Aug. 1991.
-
(1991)
IEEE Trans, on Signal Processing
, vol.39
, pp. 1732-1742
-
-
Gibson, J.D.1
Koo, B.2
Gray, S.D.3
-
13
-
-
0016333007
-
Computational aspects of maximum likelihood estimation and reduction in sensitivity function calculations
-
Dec
-
N. K. Gupta and R. K. Mehra, “Computational aspects of maximum likelihood estimation and reduction in sensitivity function calculations,” IEEE Trans. Automatic Control, vol. AC-19, pp. 774–783, Dec. 1974.
-
(1974)
IEEE Trans. Automatic Control
, vol.AC-19
, pp. 774-783
-
-
Gupta, N.K.1
Mehra, R.K.2
-
14
-
-
0016939124
-
Continuous speech recognition by statistical methods
-
Apr.
-
F. Jelinek, “Continuous speech recognition by statistical methods,” IEEE Proc., vol. 64, pp. 532–556, Apr. 1976.
-
(1976)
IEEE Proc.
, vol.64
, pp. 532-556
-
-
Jelinek, F.1
-
15
-
-
85024429815
-
A new approach to linear filtering and prediction problems
-
Mar
-
R. E. Kalman, “A new approach to linear filtering and prediction problems,” Trans. ASME, Series D, J. Basic Eng., vol. 82, pp. 35-45 Mar. 1960.
-
(1960)
Trans. ASME, Series D, J. Basic Eng.
, vol.82
, pp. 35-45
-
-
Kalman, R.E.1
-
16
-
-
0014738795
-
Maximum likelihood identification of stochastic linear systems
-
Feb
-
R. L. Kashyap, “Maximum likelihood identification of stochastic linear systems,” IEEE Trans. Automatic Control, vol. AC-15, pp. 25–34, Feb. 1970.
-
(1970)
IEEE Trans. Automatic Control
, vol.AC-15
, pp. 25-34
-
-
Kashyap, R.L.1
-
17
-
-
0025388113
-
A linear predictive HMM for vector-valued observations with applications to speech recognition
-
Feb
-
P. Kenny, M. Lennig, and P. Mermelstein, “A linear predictive HMM for vector-valued observations with applications to speech recognition,” IEEE Trans, on Acoust., Speech, and Signal Proc., vol. ASSP-38, pp. 220–225, Feb. 1990.
-
(1990)
IEEE Trans, on Acoust., Speech, and Signal Proc.
, vol.ASSP-38
, pp. 220-225
-
-
Kenny, P.1
Lennig, M.2
Mermelstein, P.3
-
18
-
-
0002583871
-
Speech database development: Design and analysis of the acoustic-phonetic corpus
-
Rep. No. SAIC-86/1546, Feb
-
L. F. Lamel, R. H. Kassel, and S. Seneff, “Speech database development: Design and analysis of the acoustic-phonetic corpus,” in Proc. DARPA Speech Reconition Workshop, Rep. No. SAIC-86/1546 pp. 100–109, Feb. 1986.
-
(1986)
Proc. DARPA Speech Reconition Workshop
, pp. 100-109
-
-
Lamel, L.F.1
Kassel, R.H.2
Seneff, S.3
-
19
-
-
0024768209
-
Speaker-independent phone recognition using hidden Markov models
-
Nov
-
K. F. Lee and H. W. Hon, “Speaker-independent phone recognition using hidden Markov models,” IEEE Trans, on Acoust., Speech, and Signal Proc., vol. ASSP-37, pp. 1641–1648, Nov. 1989.
-
(1989)
IEEE Trans, on Acoust., Speech, and Signal Proc.
, vol.ASSP-37
, pp. 1641-1648
-
-
Lee, K.F.1
Hon, H.W.2
-
20
-
-
0025682327
-
Word recognition using hidden control neural architecture
-
Albuquerque, NM, Apr.
-
E. Levin, “Word recognition using hidden control neural architecture,” in IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 433–436, Albuquerque, NM, Apr. 1990.
-
(1990)
IEEE Int. Conf. Acoust., Speech, Signal Processing
, pp. 433-436
-
-
Levin, E.1
-
21
-
-
0017980972
-
All-pole modeling of degraded speech
-
June
-
J. S. Lim and A. V. Oppenheim, “All-pole modeling of degraded speech,” IEEE Trans. Acoust., Speech, and Signal Proc., vol. ASSP-26, pp. 197–210, June 1978.
-
(1978)
IEEE Trans. Acoust., Speech, and Signal Proc.
, vol.ASSP-26
, pp. 197-210
-
-
Lim, J.S.1
Oppenheim, A.V.2
-
23
-
-
7244255287
-
Parameter Estimation
-
D. Q. Mayne, “Parameter Estimation,” Automatica, vol. 3, pp. 245–255, 1966.
-
(1966)
Automatica
, vol.3
, pp. 245-255
-
-
Mayne, D.Q.1
-
24
-
-
0001862342
-
Integration of diverse recognition methodologies through reevaluation of N-best sentence hypotheses
-
Monterey, CA, Feb
-
M. Ostendorf, A. Kannan, O. Kimball, R. Schwartz, S. Austin, and R. Rohlicek, “Integration of diverse recognition methodologies through reevaluation of N-best sentence hypotheses,” in Proc. DARPA Workshop on Speech and Natural Language, Monterey, CA, pp. 83–87, Feb. 1991.
-
(1991)
Proc. DARPA Workshop on Speech and Natural Language
, pp. 83-87
-
-
Ostendorf, M.1
Kannan, A.2
Kimball, O.3
Schwartz, R.4
Austin, S.5
Rohlicek, R.6
-
25
-
-
0024900279
-
A stochastic segment model for phoneme-based continuous speech recognition
-
Dec
-
M. Ostendorf and S. Roukos, “A stochastic segment model for phoneme-based continuous speech recognition,” IEEE Trans. Acoust., Speech, and Signal Proc., vol. ASSP-37, pp. 1857–1869, Dec. 1989.
-
(1989)
IEEE Trans. Acoust., Speech, and Signal Proc.
, vol.ASSP-37
, pp. 1857-1869
-
-
Ostendorf, M.1
Roukos, S.2
-
26
-
-
0022435636
-
Adaptive equalization
-
Sept
-
S.U.H. Qureshi, “Adaptive equalization,” IEEE Proc., vol. 73, pp. 1349–1387, Sept. 1985.
-
(1985)
IEEE Proc.
, vol.73
, pp. 1349-1387
-
-
Qureshi, S.U.H.1
-
27
-
-
0022712081
-
A segmental fc-means training procedure for connected word recognition
-
May-June
-
L. R. Rabiner, J. G. Wilpon, and B.-H. Juang, “A segmental fc-means training procedure for connected word recognition,” AT&T Tech. J., pp. 21–40, May-June 1986.
-
(1986)
AT&T Tech. J.
, pp. 21-40
-
-
Rabiner, L.R.1
Wilpon, J.G.2
Juang, B.-H.3
-
28
-
-
21644483999
-
Maximum likelihood estimates of linear dynamic systems
-
Aug
-
H. E. Rauch, F. Tung, and C. T. Striebel, “Maximum likelihood estimates of linear dynamic systems,” AIAA J., vol. 3, pp. 1445–1450, Aug. 1965.
-
(1965)
AIAA J.
, vol.3
, pp. 1445-1450
-
-
Rauch, H.E.1
Tung, F.2
Striebel, C.T.3
-
29
-
-
0023846644
-
Stochastic segment modeling using the estimate-maximize algorithm
-
New York, Apr
-
S. Roucos, M. Ostendorf, H. Gish, and A. Derr, “Stochastic segment modeling using the estimate-maximize algorithm,” in IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 127–130, New York, Apr. 1988.
-
(1988)
IEEE Int. Conf. Acoust., Speech, Signal Processing
, pp. 127-130
-
-
Roucos, S.1
Ostendorf, M.2
Gish, H.3
Derr, A.4
-
30
-
-
17444406387
-
Maximum likelihood identification of state space models for linear dynamic systems
-
Rep. ESL-R-814, M.I.T., Cambridge, MA
-
N. R. Sandell, Jr., and K. I. Yared, “Maximum likelihood identification of state space models for linear dynamic systems,” Rep. ESL-R-814, Electron. Syst. Lab, M.I.T., Cambridge, MA, 1978.
-
(1978)
Electron. Syst. Lab
-
-
Sandell, N.R.1
Yared, K.I.2
-
31
-
-
84986753417
-
An approach to time series smoothing and forecasting using the EM algorithm
-
R. H. Shumway and D. S. Stoffer, “An approach to time series smoothing and forecasting using the EM algorithm,” J. Time Series Analysis, vol. 3, no. 4, pp. 253–264, 1982.
-
(1982)
J. Time Series Analysis
, vol.3
, Issue.4
, pp. 253-264
-
-
Shumway, R.H.1
Stoffer, D.S.2
-
32
-
-
0020087782
-
Derivative computations for the log likelihood function
-
Feb
-
D. A. Wilson and A. Kumar, “Derivative computations for the log likelihood function,” IEEE Trans. Automatic Control, vol. AC-21, pp. 230–232, Feb. 1982.
-
(1982)
IEEE Trans. Automatic Control
, vol.AC-21
, pp. 230-232
-
-
Wilson, D.A.1
Kumar, A.2
-
33
-
-
85019542366
-
The mean field theory in EM procedures for Markov random fields
-
Budapest, Hungary, June
-
J. Zhang and J. W. Modestino, “The mean field theory in EM procedures for Markov random fields,” in Proc. IEEE Int. Symp. Information Theory, Budapest, Hungary, 167–169, June 1991.
-
(1991)
Proc. IEEE Int. Symp. Information Theory
, pp. 167-169
-
-
Zhang, J.1
Modestino, J.W.2
-
34
-
-
0024922971
-
Acoustic segmentation and phonetic classification in the SUMMIT system
-
Glasgow, Scotland, May
-
V. Zue, J. Glass, M. Philips, and S. Seneff, “Acoustic segmentation and phonetic classification in the SUMMIT system,” in IEEE Int. Conf Acoust., Speech, Signal Processing, pp. 389–392, Glasgow, Scotland, May 1989.
-
(1989)
IEEE Int. Conf Acoust., Speech, Signal Processing
, pp. 389-392
-
-
Zue, V.1
Glass, J.2
Philips, M.3
Seneff, S.4
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