Summary
For the past fifteen years the “Pattern Recognition and Artificial Intelligence” research group at thecrin has been involved in various projects on isolated-word and continuous speech recognition.
It is now clear that the recognition of natural speech necessitates making optimum use of all available knowledge sources. Present artificial intelligence techniques, especially knowledge-based systems, can be very helpful within this framework. In this paper we explain how in our projects these techniques are taken into account: expert systems for acoustic-phonetic decoding and phonological interpretation, multi-knowledge sources cooperation for actual man-machine dialogue implementation. The basic ideas are illustrated with short examples.
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Carbonell, N., Haton, J.P. & Pierrel, J.M. Artificial intelligence in speech understanding: Two applications at C.R.I.N.. Comput Hum 20, 167–172 (1986). https://doi.org/10.1007/BF02404456
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DOI: https://doi.org/10.1007/BF02404456