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Probability estimation by feed-forward networks in continuous speech recognition

, , and . TR-91-030. International Computer Science Institute, Berkeley CA, USA, (1991)

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A Connectionist Approach to Speech Recognition. University of Edinburgh, MSc thesis, (1987)Connectionist optimisation of tied mixture hidden Markov models, , , , and . Advances in Neural Information Processing Systems, 4, Morgan Kaufmann, California, San Mateo CA, (1992)The use of recurrent networks in continuous speech recognition, , and . Automatic Speech and Speaker Recognition -- Advanced Topics, chapter 10, Kluwer Academic Publishers, Amsterdam, (1996)Baseline IE-NE Experiments Using The SPRACH/LASIE System, , , and . Proceedings of the DARPA Broadcast News Workshop, Herndon, VA, (1999)WSJCAM0: A British English speech corpus for large vocabulary continuous speech recognition, , , , and . Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, (1995)Probability estimation by feed-forward networks in continuous speech recognition, , and . TR-91-030. International Computer Science Institute, Berkeley CA, USA, (1991)WSJCAM0: A British English speech corpus for large vocabulary continuous speech recognition, , , , and . 1, page 81--84. Detroit, (1995)A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the Wernicke project, , , , , , , , , and 4 other author(s). Proceedings European Conference on Speech Communication and Technology, page 1941--1944. Berlin, (1993)Named Entity Tagged Language Models for LVCSR, , , , and . CS-98-05. Department of Computer Science, University of Sheffield, (1998)Recent improvements to the Abbot large vocabulary CSR system, , , and . page 69--72. Detroit, (1995)