WERNICKE: A Neural Network-Based, Speaker-Independent, Large-Vocabulary, Continuous-Speech Recognition System

[1]  Hervé Bourlard,et al.  CDNN: a context dependent neural network for continuous speech recognition , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[2]  Hervé Bourlard,et al.  Hybrid Neural Network/Hidden Markov Model Systems for Continuous Speech Recognition , 1993, Int. J. Pattern Recognit. Artif. Intell..

[3]  Patti Price,et al.  The DARPA 1000-word resource management database for continuous speech recognition , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[4]  Jonathan G. Fiscus,et al.  1993 Benchmark Tests for the ARPA Spoken Language Program , 1994, HLT.

[5]  H Hermansky,et al.  Perceptual linear predictive (PLP) analysis of speech. , 1990, The Journal of the Acoustical Society of America.

[6]  H. Bourlard,et al.  Links Between Markov Models and Multilayer Perceptrons , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Esther Levin.  Hidden control neural architecture modeling of nonlinear time varying systems and its applications , 1993, IEEE Trans. Neural Networks.

[8]  John Makhoul,et al.  Context-dependent modeling for acoustic-phonetic recognition of continuous speech , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[9]  Hervé Bourlard,et al.  Connectionist probability estimators in HMM speech recognition , 1994, IEEE Trans. Speech Audio Process..

[10]  Hervé Bourlard,et al.  Connectionist Speech Recognition: A Hybrid Approach , 1993 .

[11]  Jeff A. Bilmes,et al.  The Ring Array Processor: A Multiprocessing Peripheral for Connection Applications , 1992, J. Parallel Distributed Comput..