DocumentCode :
3531240
Title :
Automatic pronunciation verification of english letter-names for early literacy assessment of preliterate children
Author :
Black, Matthew ; Tepperman, J. ; Kazemzadeh, A. ; Lee, Sungbok ; Narayanan, Shrikanth
Author_Institution :
Signal Anal. & Interpretation Lab., Univ. of Southern California, Los Angeles, CA
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
4861
Lastpage :
4864
Abstract :
Children need to master reading letter-names and letter-sounds before reading phrases and sentences. Pronunciation assessment of letter-names and letter-sounds read aloud is an important component of preliterate children´s education, and automating this process can have several advantages. The goal of this work was to automatically verify letter-names spoken by kindergarteners and first graders in realistic classroom noise conditions. We applied the same techniques developed in our previous work on automatic letter-sound verification by comparing and optimizing different acoustic models, dictionaries, and decoding grammars. Our final system was unbiased with respect to the child´s grade, age, and native language and achieved 93.1% agreement (0.813 kappa agreement) with human evaluators, who agreed among themselves 95.4% of the time (0.891 kappa).
Keywords :
speech recognition; automatic letter-sound verification; automatic pronunciation verification; classroom noise conditions; english letter-names; human evaluators; literacy assessment; preliterate children; Acoustic noise; Decoding; Dictionaries; Humans; Children´s speech; automatic reading assessment; letter-names; pronunciation verification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4960720
Filename :
4960720
Link To Document :
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