-
2
-
-
0029306621
-
Continuous speech recognition: An introduction to the hybrid HMM/connectionist approach
-
May
-
N. Morgan and H. Bourlard, "Continuous speech recognition: An introduction to the hybrid HMM/connectionist approach," IEEE Signal Process. Mag., vol. 12, no. 3, pp. 24-42, May 1995.
-
(1995)
IEEE Signal Process. Mag.
, vol.12
, Issue.3
, pp. 24-42
-
-
Morgan, N.1
Bourlard, H.2
-
3
-
-
0035101535
-
A survey of hybrid ANN/HMM models for automatic speech recognition
-
Apr.
-
E. Trentin and M. Gori, "A survey of hybrid ANN/HMM models for automatic speech recognition," Neurocomputing, vol. 37, no. 1-4, pp. 91-126, Apr. 2001.
-
(2001)
Neurocomputing
, vol.37
, Issue.1-4
, pp. 91-126
-
-
Trentin, E.1
Gori, M.2
-
4
-
-
11144222882
-
Comparison and combination of features in a hybrid HMM/MLP and a HMM/GMM speech recognition system
-
DOI 10.1109/TSA.2004.834466
-
P. Pujol, S. Pol, C. Nadeu, A. Hagen, and H. Bourlard, "Comparison and combinationoffeaturesinahybrid HMM/MLPandaHMM/GMM speech recognition system," IEEE Trans. Speech Audio Process., vol. 13, no. 1, pp. 14-22, Jan. 2005. (Pubitemid 40049936)
-
(2005)
IEEE Transactions on Speech and Audio Processing
, vol.13
, Issue.1
, pp. 14-22
-
-
Pujol, P.1
Pol, S.2
Nadeu, C.3
Hagen, A.4
Bourlard, H.5
-
5
-
-
78149247542
-
Data balancing for efficient training of hybrid ANN/HMM automatic speech recognition systems
-
Mar.
-
A. I. García-Moral, R. Solera-Ureña, C. Peláez- Moreno, and F. Díaz-de-María, "Data balancing for efficient training of hybrid ANN/HMM automatic speech recognition systems," IEEE Trans. Audio, Speech, Lang. Process., vol. 19, no. 3, pp. 468-481, Mar. 2011.
-
(2011)
IEEE Trans. Audio, Speech, Lang. Process.
, vol.19
, Issue.3
, pp. 468-481
-
-
García-Moral, A.I.1
Solera-Ureña, R.2
Peláez-Moreno, C.3
Díaz-De-María, F.4
-
7
-
-
85006763464
-
Support vector machine with dynamic time-alignment kernel for speech recognition
-
Aalborg, Denmark, Sep. 2001
-
H. Shimodaira, K. Noma, M. Nakai, and S. Sagayama, "Support vector machine with dynamic time-alignment kernel for speech recognition," in Proc. 7th Eur. Conf. Speech Commun. Technol. (Eurospeech 2001), Aalborg, Denmark, Sep. 2001, pp. 1841-1844.
-
(2001)
Proc. 7th Eur. Conf. Speech Commun. Technol. (Eurospeech
, pp. 1841-1844
-
-
Shimodaira, H.1
Noma, K.2
Nakai, M.3
Sagayama, S.4
-
8
-
-
85009080427
-
Data-dependent kernels in SVM classification of speech patterns
-
Beijing, China, Oct. 2000
-
N. D. Smith and M. Niranjan, "Data-dependent kernels in SVM classification of speech patterns," in Proc. 6th Int. Conf. Spoken Language Process. (ICSLP 2000), Beijing, China, Oct. 2000, vol. 1, pp. 297-300.
-
(2000)
Proc. 6th Int. Conf. Spoken Language Process. (ICSLP
, vol.1
, pp. 297-300
-
-
Smith, N.D.1
Niranjan, M.2
-
9
-
-
85009133711
-
Hybrid SVM/HMM architectures for speech recognition
-
Beijing, China, Oct. 2000
-
A. Ganapathiraju, J. E. Hamaker, and J. Picone, "Hybrid SVM/HMM architectures for speech recognition," in Proc. 6th Int. Conf. Spoken Language Process. (ICSLP 2000), Beijing, China, Oct. 2000, vol. 4, pp. 504-507.
-
(2000)
Proc. 6th Int. Conf. Spoken Language Process. (ICSLP
, vol.4
, pp. 504-507
-
-
Ganapathiraju, A.1
Hamaker, J.E.2
Picone, J.3
-
10
-
-
33745217161
-
Speech recognition with support vector machines in a hybrid system
-
9th European Conference on Speech Communication and Technology, Eurospeech Interspeech
-
S. E. Krüger, M. Schafföner, M. Katz, E. Andelic, and A. Wendemuth, "Speech recognition with support vector machines in a hybrid system," in Proc. 9th Eur. Conf. Speech Commun. Technol. (Interspeech 2005), Lisbon, Portugal, Sep. 2005, pp. 993-996. (Pubitemid 43908231)
-
(2005)
9th European Conference on Speech Communication and Technology
, pp. 993-996
-
-
Kruger, S.E.1
Schaffoner, M.2
Katz, M.3
Andelic, E.4
Wendemuth, A.5
-
11
-
-
84862599566
-
Support vector machines for continuous speech recognition
-
Florence, Italy, Sep.
-
J. Padrell-Sendra, D. Martín-Iglesias, and F. Díaz-de- María, "Support vector machines for continuous speech recognition," in Proc. 14th Eur. Signal Process. Conf. (EUSIPCO 2006), Florence, Italy, Sep. 2006.
-
(2006)
Proc. 14th Eur. Signal Process. Conf. (EUSIPCO 2006)
-
-
Padrell-Sendra, J.1
Martín-Iglesias, D.2
Díaz-De-María, F.3
-
12
-
-
84857461344
-
-
Ph.D. dissertation Univ. Autónoma de Madrid, Escuela Politécnica Superior, Madrid, Spain
-
D. Bolaños-Alonso, "Advances in the application of support vector machines as probabilistic estimators for continuous automatic speech recognition," Ph.D. dissertation, Univ. Autónoma de Madrid, Escuela Politécnica Superior, Madrid, Spain, 2008.
-
(2008)
Advances in the Application of Support Vector Machines As Probabilistic Estimators for Continuous Automatic Speech Recognition
-
-
Bolaños-Alonso, D.1
-
13
-
-
77950857527
-
Discriminative classifiers with adaptive kernels for noise robust speech recognition
-
Oct.
-
M. J. F. Gales and F. Flego, "Discriminative classifiers with adaptive kernels for noise robust speech recognition," Comput. Speech Lang., vol. 24, no. 4, pp. 648-662, Oct. 2010.
-
(2010)
Comput. Speech Lang.
, vol.24
, Issue.4
, pp. 648-662
-
-
Gales, M.J.F.1
Flego, F.2
-
14
-
-
10944232576
-
A new training algorithm for support vector machines
-
Baiona, Spain
-
F. Pérez-Cruz, A. Navia-Vázquez, J. L. Rojo-Álvarez, and A. Artés-Rodríguez, "A new training algorithm for support vector machines," in Proc. 5th Bayona Workshop Emerging Technol. in Telecommun., Baiona, Spain, 1999, pp. 116-120.
-
(1999)
Proc. 5th Bayona Workshop Emerging Technol. in Telecommun
, pp. 116-120
-
-
Pérez-Cruz, F.1
Navia-Vázquez, A.2
Rojo-Álvarez, J.L.3
Artés-Rodríguez, A.4
-
16
-
-
0035441377
-
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes
-
DOI 10.1109/72.950134, PII S1045922701055345
-
A. Navia-Vázquez, F. Pérez-Cruz, A. Artés- Rodríguez, and A. R. Figueiras-Vidal, "Weighted least squares training of support vector classifiers leading to compact and adaptive schemes," IEEE Trans. Neural Netw., vol. 12, no. 5, pp. 1047-1059, Sep. 2001. (Pubitemid 32981747)
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.5
, pp. 1047-1059
-
-
Navia-Vazquez, A.1
Perez-Cruz, F.2
Artes-Rodriguez, A.3
Figueiras-Vidal, A.R.4
-
17
-
-
84945284029
-
Sparse online greedy support vector regression
-
Berlin/Heidel berg, Germany 2002 2430/2002, Lecture Notes in Computer Science (LNCS)
-
Y. Engel, S. Mannor, and R. Meir, "Sparse online greedy support vector regression," in Proc. Mach. Learn.: ECML'02, Berlin/Heidelberg, Germany, 2002, vol. 2430/2002, Lecture Notes in Computer Science (LNCS), pp. 84-96.
-
Proc. Mach. Learn.: ECML'02
, pp. 84-96
-
-
Engel, Y.1
Mannor, S.2
Meir, R.3
-
18
-
-
3543096272
-
The Kernel recursive least-squares algorithm
-
Aug.
-
Y. Engel, S. Mannor, and R. Meir, "The Kernel recursive least-squares algorithm," IEEE Trans. Signal Process., vol. 52, no. 8, pp. 2275-2285, Aug. 2004.
-
(2004)
IEEE Trans. Signal Process.
, vol.52
, Issue.8
, pp. 2275-2285
-
-
Engel, Y.1
Mannor, S.2
Meir, R.3
-
20
-
-
3142695111
-
Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions
-
Adaptive Processing of Sequences and Data Structures
-
H. Bourlard and N. Morgan, "Hybrid HMM/ANN systems for speech recognition: Overview and new research directions," in Adaptive Processing of Sequences and Data Structures. Berlin/Heidelberg, Germany: Springer-Verlag, 1998, vol. 1387/1998, Lecture Notes in Computer Science (LNCS), pp. 389-417. (Pubitemid 128056038)
-
(1998)
Lecture Notes in Computer Science
, Issue.1387
, pp. 389-417
-
-
Bourlard, H.1
Morgan, N.2
-
21
-
-
0030355964
-
An incremental speaker-adaptation technique for hybrid HMM-MLP recognizer
-
Philadelphia, PA, Oct.
-
J. P. Neto, C. Martins, and L. B. Almeida, "An incremental speaker-adaptation technique for hybrid HMM-MLP recognizer," in Proc. Fourth Int. Conf. Spoken Lang. Process. (ICSLP 1996), Philadelphia, PA, Oct. 1996, vol. 3, pp. 1293-1296.
-
(1996)
Proc. Fourth Int. Conf. Spoken Lang. Process. (ICSLP 1996)
, vol.3
, pp. 1293-1296
-
-
Neto, J.P.1
Martins, C.2
Almeida, L.B.3
-
22
-
-
0029750993
-
Speaker-adaptation in a hybrid HMM-MLP recognizer
-
Washington, DC, May
-
J. P. Neto, C. Martins, and L. B. Almeida, "Speaker-adaptation in a hybrid HMM-MLP recognizer," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP 1996), Washington, DC, May 1996, vol. 6,pp. 3382-3385.
-
(1996)
Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP 1996)
, vol.6
, pp. 3382-3385
-
-
Neto, J.P.1
Martins, C.2
Almeida, L.B.3
-
23
-
-
34548012893
-
Linear hidden transformations for adaptation of hybrid ANN/HMM models
-
DOI 10.1016/j.specom.2006.11.005, PII S0167639306001786
-
R. Gemello, F. Mana, S. Scanzio, P. Laface, and R. De Mori, "Linear hidden transformations for adaptation of hybrid ANN/HMM models," Speech Commun., vol. 49, no. 10-11, pp. 827-835, Oct. 2007. (Pubitemid 47277472)
-
(2007)
Speech Communication
, vol.49
, Issue.10-11
, pp. 827-835
-
-
Gemello, R.1
Mana, F.2
Scanzio, S.3
Laface, P.4
De Mori, R.5
-
24
-
-
84863764748
-
Spectro-temporal features for automatic speech recognition using linear prediction in spectral domain
-
Lausanne, Switzerland, Aug.
-
S. Thomas, S. Ganapathy, and H. Hermansky, "Spectro-temporal features for automatic speech recognition using linear prediction in spectral domain," in Proc. 16th Eur. Signal Process. Conf. (EUSIPCO 2008), Lausanne, Switzerland, Aug. 2008.
-
(2008)
Proc. 16th Eur. Signal Process. Conf. (EUSIPCO 2008)
-
-
Thomas, S.1
Ganapathy, S.2
Hermansky, H.3
-
25
-
-
58649102246
-
Modulation frequency features for phoneme recognition in noisy speech
-
Jan.
-
S. Ganapathy, S. Thomas, and H. Hermansky, "Modulation frequency features for phoneme recognition in noisy speech," J. Acoust. Soc. Amer., vol. 125, no. 1, pp. EL8-EL12, Jan. 2009.
-
(2009)
J. Acoust. Soc. Amer.
, vol.125
, Issue.1
-
-
Ganapathy, S.1
Thomas, S.2
Hermansky, H.3
-
26
-
-
33745225408
-
A hybrid ANN/DBN approach to articulatory feature recognition
-
Lisbon, Portugal, Sep.
-
J. Frankel and S. King, "A hybrid ANN/DBN approach to articulatory feature recognition," in Proc. 9th Int. Conf. Speech Commun. Technol. (Interspeech 2005), Lisbon, Portugal, Sep. 2005, pp. 3045-3048.
-
(2005)
Proc. 9th Int. Conf. Speech Commun. Technol. (Interspeech 2005)
, pp. 3045-3048
-
-
Frankel, J.1
King, S.2
-
27
-
-
34249932867
-
Articulatory feature recognition using dynamic Bayesian networks
-
DOI 10.1016/j.csl.2007.03.002, PII S0885230807000204
-
J. Frankel, M. Wester, and S. King, "Articulatory feature recognition using dynamic Bayesian networks," Comput. Speech Lang., vol. 21, no. 4, pp. 620-640, Oct. 2007. (Pubitemid 46880190)
-
(2007)
Computer Speech and Language
, vol.21
, Issue.4
, pp. 620-640
-
-
Frankel, J.1
Wester, M.2
King, S.3
-
28
-
-
33846680938
-
Speech production knowledge in automatic speech recognition
-
DOI 10.1121/1.2404622
-
S. King, J. Frankel, K. Livescu, E. McDermott, K. Richmond, and M. Wester, "Speech production knowledge in automatic speech recognition," J. Acoust. Soc. Amer., vol. 121, no. 2, pp. 723-742, Feb. 2007. (Pubitemid 46192674)
-
(2007)
Journal of the Acoustical Society of America
, vol.121
, Issue.2
, pp. 723-742
-
-
King, S.1
Frankel, J.2
Livescu, K.3
McDermott, E.4
Richmond, K.5
Wester, M.6
-
29
-
-
84857498367
-
Scaling up: Learning large-scale recognition methods from small-scale recognition tasks
-
Maui, HI Jan.
-
N. Morgan, B. Y. Chen, Q. Zhu, and A. Stolcke, "Scaling up: Learning large-scale recognition methods from small-scale recognition tasks," in Proc. Special Workshop (SWIM), Maui, HI, Jan. 2004.
-
(2004)
Proc. Special Workshop (SWIM)
-
-
Morgan, N.1
Chen, B.Y.2
Zhu, Q.3
Stolcke, A.4
-
30
-
-
70450216114
-
Multi-stream to many-stream: Using spectro-temporal features for ASR
-
Brighton, U.K., Sep.
-
S. Y. Zhao, S. Ravuri, and N. Morgan, "Multi-stream to many-stream: Using spectro-temporal features for ASR," in Proc. 10th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech 2009), Brighton, U.K., Sep. 2009, pp. 2951-2954.
-
(2009)
Proc. 10th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech 2009)
, pp. 2951-2954
-
-
Zhao, S.Y.1
Ravuri, S.2
Morgan, N.3
-
31
-
-
84867206109
-
Incorporating acoustical modelling of phone transitions in an hybrid ANN/HMM speech recognizer
-
Brisbane, Australia Sep.
-
A. Abad and J. Neto, "Incorporating acoustical modelling of phone transitions in an hybrid ANN/HMM speech recognizer," in Proc. 9th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech '08), Brisbane, Australia, Sep. 2008, pp. 2394-2397.
-
(2008)
Proc. 9th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech '08)
, pp. 2394-2397
-
-
Abad, A.1
Neto, J.2
-
32
-
-
79959815770
-
Context dependent modelling approaches for hybrid speech recognizers
-
Chiba, Japan, Sep.
-
A. Abad, T. Pellegrini, I. Trancoso, and J. Neto, "Context dependent modelling approaches for hybrid speech recognizers," in Proc. 11th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech 2010), Chiba, Japan, Sep. 2010, pp. 2950-2953.
-
(2010)
Proc. 11th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech 2010)
, pp. 2950-2953
-
-
Abad, A.1
Pellegrini, T.2
Trancoso, I.3
Neto, J.4
-
33
-
-
34047146422
-
Robust ASR using Support Vector Machines
-
DOI 10.1016/j.specom.2007.01.013, PII S0167639307000246
-
R. Solera-Ureña, D. Martín-Iglesias, A. Gallardo- Antolín, C. Peláez-Moreno, and F. Díaz-de-María, "Robust ASR using support vector machines," Speech Commun., vol. 49, no. 4, pp. 253-267, Apr. 2007. (Pubitemid 46517709)
-
(2007)
Speech Communication
, vol.49
, Issue.4
, pp. 253-267
-
-
Solera-Urena, R.1
Martin-Iglesias, D.2
Gallardo-Antolin, A.3
Pelaez-Moreno, C.4
Diaz-de-Maria, F.5
-
34
-
-
39149093062
-
SVMs for automatic speech recognition: A survey
-
Progress in Nonlinear Speech Processing
-
R. Solera-Ureña, J. Padrell-Sendra, D. Martín-Iglesias, A. Gal-lardo-Antolín, C. Peláez-Moreno, and F. Díaz-de- María, "SVMs for automatic speech recognition: A survey," in Progress in Nonlinear Speech Processing. Berlin/Heidelberg, Germany: Springer-Verlag, 2007, vol. 4391/2007, Lecture Notes in Computer Science (LNCS), pp. 190-216. (Pubitemid 351256466)
-
(2007)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4391
, pp. 190-216
-
-
Solera-Urena, R.1
Padrell-Sendra, J.2
Martin-Iglesias, D.3
Gallardo-Antolin, A.4
Pelaez-Moreno, C.5
Diaz-de-Maria, F.6
-
35
-
-
46149084230
-
La-grangian support vector machines for phoneme classification
-
Singapore, Nov
-
A. Ech-Cherif, M. Kohili, A. Benyettou, and M. Benyettou, "La-grangian support vector machines for phoneme classification," in Proc. 9th Int. Conf. Neural Inf. Process. (ICONIP 2002), Singapore, Nov. 2002, vol. 5, pp. 2507-2511.
-
(2002)
Proc. 9th Int. Conf. Neural Inf. Process. (ICONIP 2002)
, vol.5
, pp. 2507-2511
-
-
Ech-Cherif, A.1
Kohili, M.2
Benyettou, A.3
Benyettou, M.4
-
36
-
-
39149114675
-
Combining evidence from multiple classifiers for recognition of consonant-vowel units of speech in multiple languages
-
Dec.
-
S. V. Gangashetty, C. Chandra-Sekhar, and B. Yegnanarayana, "Combining evidence from multiple classifiers for recognition of consonant-vowel units of speech in multiple languages," in Proc. Int. Conf. Intell. Sens. Inf. Process., Chennai, India, Dec. 2005, pp. 387-391.
-
(2005)
Proc. Int. Conf. Intell. Sens. Inf. Process., Chennai, India
, pp. 387-391
-
-
Gangashetty, S.V.1
Chandra-Sekhar, C.2
Yegnanarayana, B.3
-
37
-
-
33745467338
-
A speech recognizer based on multi-class SVMs with HMM-guided segmentation
-
Berlin/Heidelberg, Germany: Springer-Verlag 2005 3817/ Lecture Notes in Computer Science (LNCS)
-
D. Martín-Iglesias, J. Bernal-Chaves, C. Peláez-Moreno, A. Gallardo-Antolín, and F. Díaz-de-María, "A speech recognizer based on multi-class SVMs with HMM-guided segmentation," in Nonlinear Analyses and Algorithms for Speech Processing. Berlin/Heidelberg, Germany: Springer-Verlag, 2005, vol. 3817/2005, Lecture Notes in Computer Science (LNCS), pp. 256-266.
-
(2005)
Nonlinear Analyses and Algorithms for Speech Processing
, pp. 256-266
-
-
Martín-Iglesias, D.1
Bernal-Chaves, J.2
Peláez-Moreno, C.3
Gallardo-Antolín, A.4
Díaz-De-María, F.5
-
38
-
-
0032639886
-
On the use of support vector machines for phonetic classification
-
Phoenix, AZ, Mar.
-
P. Clarkson and P. J. Moreno, "On the use of support vector machines for phonetic classification," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP 1999), Phoenix, AZ, Mar. 1999, vol. 2, pp. 585-588.
-
(1999)
Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP 1999)
, vol.2
, pp. 585-588
-
-
Clarkson, P.1
Moreno, P.J.2
-
39
-
-
0041365886
-
Support vector machines for Thai phoneme recognition
-
N. Thubthong and B. Kijsirikul, "Support vector machines for Thai phoneme recognition," Int. J. Uncertainty, Fuzziness, Knowl.-Based Syst., vol. 9, no. 6, pp. 803-813, 2001. (Pubitemid 33682991)
-
(2001)
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
, vol.9
, Issue.6
, pp. 803-813
-
-
Thubthong, N.1
Kijsirikul, B.2
-
40
-
-
84857479464
-
Acoustic modeling of subword units using support vector machines
-
Mumbai, India, Jan.
-
C. Chandra-Sekhar, W. F. Lee, K. Takeda, and F. Itakura, "Acoustic modeling of subword units using support vector machines," in Proc. Workshop Spoken Lang. Process. (WSLP 2003), Mumbai, India, Jan. 2003, pp. 79-86.
-
(2003)
Proc. Workshop Spoken Lang. Process. (WSLP 2003)
, pp. 79-86
-
-
Chandra-Sekhar, C.1
Lee, W.F.2
Takeda, K.3
Itakura, F.4
-
42
-
-
3543087978
-
Applications of support vector machines to speech recognition
-
Aug.
-
A. Ganapathiraju, J. E. Hamaker, and J. Picone, "Applications of support vector machines to speech recognition," IEEE Trans. Signal Process., vol. 52, no. 8, pp. 2348-2355, Aug. 2004.
-
(2004)
IEEE Trans. Signal Process.
, vol.52
, Issue.8
, pp. 2348-2355
-
-
Ganapathiraju, A.1
Hamaker, J.E.2
Picone, J.3
-
43
-
-
0036291381
-
Digit recognition in noisy environments via a sequential GMM/SVM system
-
Orlando, FL, May
-
S. Fine, G. Saon, and R. A. Gopinath, "Digit recognition in noisy environments via a sequential GMM/SVM system," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP'02), Orlando, FL, May 2002, vol. 1, pp. 49-52.
-
(2002)
Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP'02)
, vol.1
, pp. 49-52
-
-
Fine, S.1
Saon, G.2
Gopinath, R.A.3
-
44
-
-
33947614155
-
Limited training data robust speech recognition using kernel-based acoustic models
-
Toulouse, France, May
-
M. Schafföner, S. E. Krüger, E. Andelic, M. Katz, and A. Wendemuth, "Limited training data robust speech recognition using kernel-based acoustic models," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP 2006), Toulouse, France, May 2006, vol. 1, pp. 1137-1140.
-
(2006)
Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP 2006)
, vol.1
, pp. 1137-1140
-
-
Schafföner, M.1
Krüger, S.E.2
Andelic, E.3
Katz, M.4
Wendemuth, A.5
-
45
-
-
84867219030
-
Implicit state-tying for support vector machines based speech recognition
-
Brisbane, Australia Sep.
-
D. Bolaños and W. Ward, "Implicit state-tying for support vector machines based speech recognition," in Proc. 9th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech '08), Brisbane, Australia, Sep. 2008, pp. 924-927.
-
(2008)
Proc. 9th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech '08)
, pp. 924-927
-
-
Bolaños, D.1
Ward, W.2
-
46
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Pittsburgh, PA Jul.
-
B. E. Boser, I. M. Guyon, and V. N. Vapnik, "A training algorithm for optimal margin classifiers," in Proc. 5th Annu. Workshop Comput. Learn. Theory, Pittsburgh, PA, Jul. 1992, pp. 144-152.
-
(1992)
Proc. 5th Annu. Workshop Comput. Learn. Theory
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.N.3
-
49
-
-
0000874557
-
Theoretical foundations of the potential function method in pattern recognition learning
-
M. A. Aizerman, E. M. Braverman, and L. I. Rozonoer, "Theoretical foundations of the potential function method in pattern recognition learning," Autom. Remote Control, vol. 25, pp. 821-837, 1964.
-
(1964)
Autom. Remote Control
, vol.25
, pp. 821-837
-
-
Aizerman, M.A.1
Braverman, E.M.2
Rozonoer, L.I.3
-
50
-
-
0003425673
-
Multi-class support vector machines
-
Royal Holloway, Egham, U.K.
-
J. Weston and C. Watkins, "Multi-Class Support Vector Machines," Tech. Rep. Univ. of London, Dept. of Comput. Sci., Royal Holloway, Egham, U.K., 1998.
-
(1998)
Tech. Rep. Univ. of London, Dept. of Comput. Sci
-
-
Weston, J.1
Watkins, C.2
-
51
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
K. Crammer and Y. Singer, "On the algorithmic implementation of multiclass kernel-based vector machines," J. Mach. Learn. Res., vol. 2, no. 5, pp. 265-292, 2001.
-
(2001)
J. Mach. Learn. Res.
, vol.2
, Issue.5
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
52
-
-
2142775432
-
Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data
-
Y. Lee, Y. Lin, and G. Wahba, "Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data," J. Amer. Statist. Assoc., vol. 99, no. 465, pp. 67-81, Mar. 2004. (Pubitemid 38545195)
-
(2004)
Journal of the American Statistical Association
, vol.99
, Issue.465
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
53
-
-
84888364466
-
Large margin DAGs for multiclass classification
-
S.A.Solla, T. K. Leen, and K.-R. Müller, Eds. Cambridge, MA: MIT Press
-
J. C. Platt, N. Cristianini, and J. Shawe-Taylor, "Large margin DAGs for multiclass classification," in Advances in Neural Information Processing Systems, S.A.Solla, T. K. Leen, and K.-R. Müller, Eds. Cambridge, MA: MIT Press, 2000, vol. 12, pp. 547-553.
-
(2000)
Advances in Neural Information Processing Systems
, vol.12
, pp. 547-553
-
-
Platt, J.C.1
Cristianini, N.2
Shawe-Taylor, J.3
-
54
-
-
0000406788
-
Solving multiclass learning problems via error-correcting output codes
-
T. G. Dietterich and G. Bakiri, "Solving multiclass learning problems via error-correcting output codes," J. Artif. Intell. Res., vol. 2, no. 1, pp. 263-286, 1995.
-
(1995)
J. Artif. Intell. Res.
, vol.2
, Issue.1
, pp. 263-286
-
-
Dietterich, T.G.1
Bakiri, G.2
-
55
-
-
24044435942
-
Reducing multiclass to binary: A unifying approach for margin classifiers
-
E. L. Allwein, R. E. Schapire, and Y. Singer, "Reducing multiclass to binary: A unifying approach for margin classifiers," J. Mach. Learn. Res., vol. 1, pp. 113-141, 2000. (Pubitemid 33738778)
-
(2001)
Journal of Machine Learning Research
, vol.1
, Issue.2
, pp. 113-141
-
-
Allwein, E.L.1
Schapire, R.E.2
Singer, Y.3
-
56
-
-
0036505670
-
A comparison of methods for multiclass support vector machines
-
DOI 10.1109/72.991427, PII S1045922702018052
-
C. W. Hsu and C.-J. Lin, "A comparison of methods for multiclass support vector machines," IEEE Trans. Neural Netw., vol. 13, no. 2, pp. 415-425, Mar. 2002. (Pubitemid 34475042)
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.2
, pp. 415-425
-
-
Hsu, C.-W.1
Lin, C.-J.2
-
58
-
-
0003243224
-
Probabilities for SV machines
-
Cambridge, MA: MIT Press
-
J. C. Platt, "Probabilities for SV machines," in Advances in Large Margin Classifiers. Cambridge, MA: MIT Press, 2000, pp. 61-74.
-
(2000)
Advances in Large Margin Classifiers
, pp. 61-74
-
-
Platt, J.C.1
-
59
-
-
51349159085
-
Probability estimates for multi-class classification by pairwise coupling
-
T.-F. Wu, C.-J. Lin, and R. C. Weng, "Probability estimates for multi-class classification by pairwise coupling," J. Mach. Learn. Res., vol. 5, pp. 975-1005, 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 975-1005
-
-
Wu, T.-F.1
Lin, C.-J.2
Weng, R.C.3
-
60
-
-
38449101377
-
An empirical study of the behavior of classifiers on imbalanced and overlapped data sets
-
Berlin/Heidelberg, Germany: Springer-Verlag 2008, 4756/ Lecture Notes in Computer Science (LNCS)
-
V. García, J. Sánchez, and R. Mollineda, "An empirical study of the behavior of classifiers on imbalanced and overlapped data sets," in Progress in Pattern Recognition, Image Analysis and Applications. Berlin/Heidelberg, Germany: Springer-Verlag, 2008, vol. 4756/2008, Lecture Notes in Computer Science (LNCS), pp. 397-406.
-
(2008)
Progress in Pattern Recognition, Image Analysis and Applications
, pp. 397-406
-
-
García, V.1
Sánchez, J.2
Mollineda, R.3
-
61
-
-
50549099450
-
Guest editorial: Special issue on utility-based data mining
-
Oct.
-
G. M. Weiss, B. Zadrozny, and M. Saar-Tsechansky, "Guest editorial: Special issue on utility-based data mining," Data Mining Knowl. Disc., vol. 17, no. 2, pp. 129-135, Oct. 2008.
-
(2008)
Data Mining Knowl. Disc.
, vol.17
, Issue.2
, pp. 129-135
-
-
Weiss, G.M.1
Zadrozny, B.2
Saar-Tsechansky, M.3
-
62
-
-
64049108468
-
Exploratory under-sampling for class-imbalance learning
-
Man, Cybern. B: Cy-bern. Apr.
-
X.-Y. Liu, J. Wu, and Z.-H. Zhou, "Exploratory under-sampling for class-imbalance learning," IEEE Trans. Syst., Man, Cybern. B: Cy-bern., vol. 39, no. 2, pp. 539-550, Apr. 2009.
-
(2009)
IEEE Trans. Syst
, vol.39
, Issue.2
, pp. 539-550
-
-
Liu, X.-Y.1
Wu, J.2
Zhou, Z.-H.3
-
63
-
-
33646175727
-
Training HMM/ANN hybrid speech recognizers by probabilistic sampling
-
Berlin/Heidelberg, Germany, 2005 3696/ Lecture Notes in Computer Science (LNCS)
-
L. Tóth and A. Kocsor, "Training HMM/ANN hybrid speech recognizers by probabilistic sampling," in Proc. Artif. Neural Netw.: Biol. Inspirations (ICANN 2005), Berlin/Heidelberg, Germany, 2005, vol. 3696/2005, Lecture Notes in Computer Science (LNCS), pp. 597-603.
-
(2005)
Proc. Artif. Neural Netw.: Biol. Inspirations (ICANN 2005)
, pp. 597-603
-
-
Tóth, L.1
Kocsor, A.2
-
64
-
-
56149088885
-
Speeding-up neural network training using sentence and frame selection
-
Antwerp, Belgium Aug.
-
S. Scanzio, P. Laface, R. Gemello, and F. Mana, "Speeding-up neural network training using sentence and frame selection," in Proc. 8th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech '07), Antwerp, Belgium, Aug. 2007, pp. 1725-1728.
-
(2007)
Proc. 8th Annu. Conf. Int. Speech Commun. Assoc. (Interspeech '07)
, pp. 1725-1728
-
-
Scanzio, S.1
Laface, P.2
Gemello, R.3
Mana, F.4
-
65
-
-
84971667866
-
Hybrid HMM-NN for speech recognition and prior class probabilities
-
Singapore Nov.
-
D. Albesano, R. Gemello, and F. Mana, "Hybrid HMM-NN for speech recognition and prior class probabilities," in Proc. 9th Int. Conf. Neural Inf. Process. (ICONIP '02), Singapore, Nov. 2002, vol. 5, pp. 2391-2395.
-
(2002)
Proc. 9th Int. Conf. Neural Inf. Process. (ICONIP '02)
, vol.5
, pp. 2391-2395
-
-
Albesano, D.1
Gemello, R.2
Mana, F.3
-
66
-
-
0141697346
-
-
Ph.D. dissertation, É cole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
-
A. Hagen, "Robust speech recognition based on multi-stream processing," Ph.D. dissertation, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2001.
-
(2001)
Robust Speech Recognition Based on Multi-stream Processing
-
-
Hagen, A.1
-
67
-
-
0035426280
-
SVC-based equalizer for burst TDMA transmissions
-
DOI 10.1016/S0165-1684(01)00079-2, PII S0165168401000792
-
F. Pérez-Cruz, A. Navia-Vázquez, P. L. Alarcón- Diana, and A. Artés-Rodríguez, "SVC-based equalizer for burst TDMA transmissions," Signal Process., vol. 81, no. 8, pp. 1681-1693, Aug. 2001. (Pubitemid 32694055)
-
(2001)
Signal Processing
, vol.81
, Issue.8
, pp. 1681-1693
-
-
Perez-Cruz, F.1
Navia-Vazquez, A.2
Alarcon-Diana, P.L.3
Artes-Rodriguez, A.4
-
68
-
-
14544283334
-
Convergence of the IRWLS procedure to the support vector machine solution
-
DOI 10.1162/0899766052530875
-
F. Pérez-Cruz, C. Bousoño-Calzón, and A. Artés-Rodríguez, "Convergence of the IRWLS procedure tothe support vector machine solution," Neural Comput., vol. 17, no. 1, pp. 7-18, Jan. 2005. (Pubitemid 40305880)
-
(2005)
Neural Computation
, vol.17
, Issue.1
, pp. 7-18
-
-
Perez-Cruz, F.1
Bousono-Calzon, C.2
Artes-Rodriguez, A.3
-
69
-
-
0003028425
-
Nonlinear programming
-
Berkeley, CA, Jul.-Aug.
-
H. W. Kuhn and A. W. Tucker, "Nonlinear programming," in Proc. 2nd Berkeley Symp. Math. Statist. Probab., Berkeley, CA, Jul.-Aug. 1950, pp. 481-492.
-
(1950)
Proc. 2nd Berkeley Symp. Math. Statist. Probab
, pp. 481-492
-
-
Kuhn, H.W.1
Tucker, A.W.2
-
70
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining Knowl. Disc., vol. 2, pp. 121-167, 1998. (Pubitemid 128695475)
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
72
-
-
0015000439
-
Some results on Tchebycheffian spline function
-
Jan.
-
G. Kimeldorf and G. Wahba, "Some results on Tchebycheffian spline function," J. Math. Anal. Applicat., vol. 33, no. 1, pp. 82-95, Jan. 1971.
-
(1971)
J. Math. Anal. Applicat.
, vol.33
, Issue.1
, pp. 82-95
-
-
Kimeldorf, G.1
Wahba, G.2
-
73
-
-
84898957872
-
Improving the accuracy and speed of support vector machines
-
M. C. Mozer, M. I. Jordan, and T. Petsche, Eds. Cambridge, MA: MIT Press
-
C. J. C. Burges and B. Schölkopf, "Improving the accuracy and speed of support vector machines," in Advances in Neural Information Processing Systems, M. C. Mozer, M. I. Jordan, and T. Petsche, Eds. Cambridge, MA: MIT Press, 1997, vol. 9, pp. 375-381.
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 375-381
-
-
Burges, C.J.C.1
Schölkopf, B.2
-
74
-
-
77949355223
-
-
M.Sc., University of Illinois at Urbana-Champaign, Graduate College, Urbana, IL, USA
-
S. E. Borys, "An SVM Front End Landmark Speech Recognition System," M.Sc., University of Illinois at Urbana-Champaign, Graduate College, Urbana, IL, USA, 2008.
-
(2008)
An SVM Front End Landmark Speech Recognition System
-
-
Borys, S.E.1
-
75
-
-
73549088063
-
Bounded kernel-based online learning
-
F. Orabona, J. Keshet, and B. Caputo, "Bounded kernel-based online learning," J. Mach. Learn. Res., vol. 10, pp. 2643-2666, 2009.
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 2643-2666
-
-
Orabona, F.1
Keshet, J.2
Caputo, B.3
-
76
-
-
0003873667
-
SpeechDat Spanish database for fixed telephone network
-
Barcelona, Spain
-
A. Moreno, "SpeechDat Spanish database for fixed telephone network," Tech. Rep. Univ. Politecnica de Catalunya, Barcelona, Spain, 1997.
-
(1997)
Tech. Rep. Univ. Politecnica de Catalunya
-
-
Moreno, A.1
-
77
-
-
0027623210
-
Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems
-
A. Varga and H. J. M. Steeneken, "Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems," Speech Commun., vol. 12, no. 3, pp. 247-251, 1993.
-
(1993)
Speech Commun.
, vol.12
, Issue.3
, pp. 247-251
-
-
Varga, A.1
Steeneken, H.J.M.2
-
78
-
-
0003483593
-
-
Cambridge U.K.: Cambridge Univ.
-
S. Young, G. Evermann, M. Gales, T. Hain, and D. Kershaw, HTK-Hidden Markov Model Toolkit (ver. 3.4). Cambridge, U.K.: Cambridge Univ., 2006.
-
(2006)
HTK-Hidden Markov Model Toolkit (Ver. 3.4)
-
-
Young, S.1
Evermann, G.2
Gales, M.3
Hain, T.4
Kershaw, D.5
-
79
-
-
84857472367
-
COST 249 MCM
-
F. T. Johansen, N. Warakagoda, B. Lindberg, G. Lehtinen, Z. Kacic, A. Zgank, K. Elenius, and G. Salvi, in COST 249 MCM, Tech. Annex, 1999.
-
(1999)
Tech. Annex
-
-
Johansen, F.T.1
Warakagoda, N.2
Lindberg, B.3
Lehtinen, G.4
Kacic, Z.5
Zgank, A.6
Elenius, K.7
Salvi, G.8
-
80
-
-
84857498381
-
Development and integration of the LDA-toolkit into the COST249 SpeechDat (II) SIG reference recognizer
-
May
-
B. Kotnik, Z. Kacic, and B. Horvat, "Development and integration of the LDA-toolkit into the COST249 SpeechDat (II) SIG reference recognizer," in Proc. 4th Int. Conf. Lang. Resources Eval. (LREC '04), Lisbon, Portugal, May 2004.
-
(2004)
Proc. 4th Int. Conf. Lang. Resources Eval. (LREC '04), Lisbon, Portugal
-
-
Kotnik, B.1
Kacic, Z.2
Horvat, B.3
-
81
-
-
1942421209
-
Hidden Markov support vector machines
-
Washington DC Aug.
-
Y. Altun, I. Tsochantaridis, and T. Hofmann, "Hidden Markov support vector machines," in Proc. 20th Int. Conf. Mach. Learn. (ICML '03), Washington, DC, Aug. 2003, pp. 3-10.
-
(2003)
Proc. 20th Int. Conf. Mach. Learn. (ICML '03)
, pp. 3-10
-
-
Altun, Y.1
Tsochantaridis, I.2
Hofmann, T.3
-
82
-
-
84898948585
-
Max-margin Markov networks
-
S. Thrun L. Saul, and B. Schölkopf, Eds. Cambridge, MA MIT Press
-
B. Taskar, C. Guestrin, andD. Koller, "Max-margin Markov networks," in Advances in Neural Information Processing Systems, S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press, 2004, vol. 16.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
-
-
Taskar, B.1
Guestrin, C.2
Koller, D.3
-
83
-
-
84857472364
-
Kernel conditional graphical models
-
F. Bakir, T. Hofmann, B. Schölkopf, A. J. Smola, B. Taskar, and S. V. N. Vish-wanathan, Eds. Cambridge, MA: MIT Press
-
F. Pérez-Cruz, Z. Ghahramani, and M. Pontil, "Kernel conditional graphical models," in Predicting Structured Data, F. Bakir, T. Hofmann, B. Schölkopf, A. J. Smola, B. Taskar, and S. V. N. Vish-wanathan, Eds. Cambridge, MA: MIT Press, 2007, pp. 265-282.
-
(2007)
Predicting Structured Data
, pp. 265-282
-
-
Pérez-Cruz, F.1
Ghahramani, Z.2
Pontil, M.3
|