A prototype reading coach that listens
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Improved methods for vocal tract normalization
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Analysis and detection of reading miscues for interactive literacy tutors
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Acoustic variability and automatic recognition of children's speech
Speech Communication
A review of ASR technologies for children's speech
Proceedings of the 2nd Workshop on Child, Computer and Interaction
Robustness optimization of a speech interface for child-directed embedded language tutoring
Proceedings of the 2nd Workshop on Child, Computer and Interaction
FLORA: Fluent oral reading assessment of children's speech
ACM Transactions on Speech and Language Processing (TSLP)
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Recognizing Young Readers' Spoken Questions
International Journal of Artificial Intelligence in Education
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In this paper we present recent advances in acoustic and language modeling that improve recognition performance when children read out loud within digital books. First we extend previous work by incorporating cross-utterance word history information and dynamic n-gram language modeling. By additionally incorporating Vocal Tract Length Normalization (VTLN), Speaker-Adaptive Training (SAT) and iterative unsupervised structural maximum a posteriori linear regression (SMAPLR) adaptation we demonstrate a 54% reduction in word error rate. Next, we show how data from children's read-aloud sessions can be utilized to improve accuracy in a spontaneous story summarization task. An error reduction of 15% over previous published results is shown. Finally we describe a novel real-time implementation of our research system that incorporates time-adaptive acoustic and language modeling.