Improvements in predicting children's overall reading ability by modeling variability in evaluators' subjective judgments

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 5069-5072

  Black, Matthew P ^a   Narayanan, Shrikanth S ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Automatic literacy assessment; children's speech; generalized least squares regression; pronunciation evaluation

Indexed keywords

AUTOMATIC LITERACY ASSESSMENT; ENGLISH WORD; GENERALIZED LEAST SQUARE; GENERALIZED LEAST SQUARES REGRESSIONS; INTEGRAL COMPONENTS; LANGUAGE PROCESSING; MAXIMUM ABSOLUTE ERROR; MODELING VARIABILITY; PEARSON'S CORRELATION COEFFICIENTS; PRONUNCIATION EVALUATION;

CORRELATION METHODS; FORECASTING; SIGNAL PROCESSING;

EDUCATION;

EID: 84867618979     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6289060     Document Type: Conference Paper

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