title: Parallel algorithms for syllable recognition in continuous speech.
abstract: A distributed rule-based system for automatic speech recognition is described. Acoustic property extraction and feature hypothesization are performed by the application of sequences of operators. These sequences, called plans, are executed by cooperative expert programs. Experimental results on the automatic segmentation and recognition of phrases, made of connected letters and digits, are described and discussed.
authors.affiliation: Department of Computer Science, Concordia University, Montreal, P. Q. H3G 1M8, Canada.
authors.forename: R
authors.initials: R
authors.lastname: De Mori
authors.forename: P
authors.initials: P
authors.lastname: Laface
authors.forename: Y
authors.initials: Y
authors.lastname: Mong