-
1
-
-
0034847329
-
-
Barras, C., Lamel, L., Gauvain, J., 2001. Automatic transcription of compressed broadcast audio. In: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Salt Lake City, UT, USA.
-
-
-
-
3
-
-
0025547193
-
Links between Markov models and multilayer perceptrons
-
Bourlard H., and Wellekens C. Links between Markov models and multilayer perceptrons. IEEE Trans. Pattern Anal. Machine Intell. 12 December (1990) 1167-1178
-
(1990)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.12
, Issue.December
, pp. 1167-1178
-
-
Bourlard, H.1
Wellekens, C.2
-
5
-
-
33745384548
-
-
Hirsch, H.G., Pearce, D., 2000. The AURORA experimental framework for the performance evaluation of speech recognition systems under noisy conditions. In: ISCA ITRW ASR2000.
-
-
-
-
6
-
-
33745348424
-
-
James, A., Gómez, A., Milner, B., 2005. A comparison of packet loss compensation methods and interleaving for speech recognition in burst-like packet loss. In: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, PA, USA, March.
-
-
-
-
7
-
-
33745403369
-
-
Paul, D.B., Baker, J.M., 1992. The design for the wall street journal-based CSR corpus. In: Int. Conf. on Spoken Language Processing (ICSLP), Banff, Canada, October, pp. 899-902.
-
-
-
-
8
-
-
0033692963
-
-
Rottland, J., Rigoll, G., 2000. Tied posteriors: an approach for effective introduction of context dependency in hybrid NN/HMM LVCSR. In: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Istanbul, Turkey, June.
-
-
-
-
9
-
-
0029023603
-
Recurrent neural networks can be trained to be maximum a posteriori probability classifiers
-
Santini S., and Del Bimbo A. Recurrent neural networks can be trained to be maximum a posteriori probability classifiers. Neural Networks 8 1 (1995) 25-29
-
(1995)
Neural Networks
, vol.8
, Issue.1
, pp. 25-29
-
-
Santini, S.1
Del Bimbo, A.2
-
10
-
-
33745370209
-
-
Schulz, H., Mast, M., Ross, T., Harrikari, H., Stadermann, J., Demesticha, V., Vamvakoulas, Y., Polymenakos, L., 2001. A conversational natural language understanding information system for multiple languages. In: 6th Int. Workshop on Applications of Natural Language for Information Systems, Madrid, Spain, June.
-
-
-
-
11
-
-
84962919830
-
-
Stadermann, J., Rigoll, G., 2001. Comparison of standard and hybrid modeling techniques for distributed speech recognition. In: IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Madonna di Campiglio Trento, Italy, December.
-
-
-
-
12
-
-
33745188657
-
-
Stadermann, J., Rigoll, G., 2003a. Comparing NN paradigms in hybrid NN/HMM speech recognition using tied posteriors. In: IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), November, St. Thomas, U.S. Virgin Islands, November.
-
-
-
-
13
-
-
0141703245
-
-
Stadermann, J., Rigoll, G., 2003b. Flexible feature extraction and HMM design for a hybrid distributed speech recognition system in noisy environments. In: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Hong Kong, China, April.
-
-
-
-
14
-
-
33745408664
-
-
Stadermann, J., Rigoll, G., 2005. Verteilte Spracherkennung mit hybriden akustischen Modellen. In: 3.1. Deutsche Jahrestagung fnr Akustik, DAGA05, Mnnchen, Deutschland, March.
-
-
-
-
15
-
-
85009064369
-
-
Stadermann, J., Meermeier, R., Rigoll, G., 2001. Distributed speech recognition using traditional and hybrid modeling techniques. In: European Conf. on Speech Communication and Technology, Aalborg, Denmark, September.
-
-
-
-
16
-
-
33745382054
-
-
Speech processing, transmission and quality aspects (STQ), 2003. Distributed speech recognition; front-end feature extraction algorithm; compression algorithms. In: ETSI ES 201 108 v1.1.3 (2003-09), September.
-
-
-
-
17
-
-
0032654007
-
-
Yuk, D., Flanagan, J., 1999. Telephone speech recognition using neural networks and hidden markov models. In: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 1999.
-
-
-
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