Recent Advances in Sonic Italian Children’s Speech Recognition for Interactive Literacy Tutors

Recent advances in SONIC Italian children's speech recognition
will be described. This work, completing a previous one
developed in the past, was conducted with the specific goals of
integrating the newly trained children's speech recognition
models into the Italian version of the Colorado Literacy Tutor
platform. Specifically, children's speech recognition research for
Italian was conducted using the complete training and test set of
the ITC-irst Children's Speech Corpus. Using the University of
Colorado SONIC LVSR system, we demonstrate a phonetic
recognition error rate of 12,0% for a system which incorporates
Vocal Tract Length Normalization (VTLN), Speaker-Adaptive
Trained phonetic models, as well as unsupervised Structural MAP
Linear Regression (SMAPLR).

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Contributo in atti di convegno
Author or Creator: 
Cosi P
1st Workshop on Child, Computer and Interaction (ICMI'08, 10TH International Conference On Multimodal Interfaces, post-conference workshop), Chania, Crete, Greece, 23 October 2008
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