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).
Recent Advances in Sonic Italian Children s Speech Recognition for Interactive Literacy Tutors
Cosi P
2008
Abstract
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).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
