A Sonn-Based Architecture for Automatic Speech Segmentation and Alignment

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
SON; Automatic Speech Segmentation; Automatic Speech Alignment
List of contributors:
Handle:
https://iris.cnr.it/handle/20.500.14243/16745
Book title:
Proceedings First Workshop "Neural Networks and Speech Processing" - Primo Workshop Italiano "Le reti neuroniche per il trattamento del parlato"