A Self-Organizing-Neural-Network(SONN) architecture is used, in cooperation with Viterbi decoding and One-Pass Level-Building(LB) tecnique for automatic alignment of incoming speech signals with their corresponding indipendently specified string of phonetic/phonemic symbols. Results of the application of the label alignment procedure to EUROMO Italian continuous speech material are presented.
A Sonn-Based Architecture for Automatic Speech Segmentation and Alignment
Cosi P;
1990
Abstract
A Self-Organizing-Neural-Network(SONN) architecture is used, in cooperation with Viterbi decoding and One-Pass Level-Building(LB) tecnique for automatic alignment of incoming speech signals with their corresponding indipendently specified string of phonetic/phonemic symbols. Results of the application of the label alignment procedure to EUROMO Italian continuous speech material are presented.File in questo prodotto:
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