Abstract
This paper describes the use of Neural Network Automata (NNA) in Dialogos®, a real time system for human machine spoken dialogue on the telephone network devoted to railway timetables inquires. NNA is CSELT hybrid Hidden Markov Model (HMM) and Neural Network (NN) devoted to speech recognition.
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© 1999 Springer-Verlag London Limited
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Albesano, D., Mana, F., Gemello, R. (1999). Continuous Speech Recognition with Neural Networks: An Application to Railway Timetables Enquires. In: Chollet, G., Di Benedetto, M.G., Esposito, A., Marinaro, M. (eds) Speech Processing, Recognition and Artificial Neural Networks. Springer, London. https://doi.org/10.1007/978-1-4471-0845-0_9
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DOI: https://doi.org/10.1007/978-1-4471-0845-0_9
Publisher Name: Springer, London
Print ISBN: 978-1-85233-094-1
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