Archivio Istituzionale della RicercaA 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.
Parallel algorithms for syllable recognition in continuous speech / R., De Mori; Laface, Pietro; Y., Mong. - In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. - ISSN 0162-8828. - STAMPA. - 7:1(1985), pp. 56-69. [10.1109/TPAMI.1985.4767618]
Parallel algorithms for syllable recognition in continuous speech
LAFACE, Pietro;
1985
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.
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https://hdl.handle.net/11583/2584385
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