@inproceedings{1c8fae14317a4a4f96c2655b3d5a82e2,
title = "Dynamic multiple pronunciation incorporation in a refined search space for reading miscue detection",
abstract = "Error prediction is important for detecting reading miscues by a reading tutor. In order to incorporate the error prediction into the decoder of a conventional speech recognizer, this paper proposes an algorithm of Dynamic Multiple Pronunciation Incorporation (DMPI). It solves the confliction between the coverage of errors and the perplexity increase of search space. A multiple pronunciation model (MPM) is developed to model the misreading errors. The pronunciation variants referred to in current reference are extracted from MPM and added to the search space of the recognizer – a refined state network before recognizing. The original state network is redeveloped to reserve some redundant fan-in and fan-out nodes which make the merging of the original state network and the additional state network very easy. The experiment result proved effectiveness of this algorithm. The EER is decreased by about 9.5\%.",
keywords = "CALL, Decoder, Multiple pronunciation model, Reading tutor, State network",
author = "Changliang Liu and Fuping Pan and Fengpei Ge and Bin Dong and Shuiduen Chen and Yonghong Yan",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2009.; 6th International Symposium of Neural Networks, ISNN 2009 ; Conference date: 26-05-2009 Through 29-05-2009",
year = "2009",
month = may,
day = "3",
doi = "10.1007/978-3-642-01216-7\_40",
language = "English",
isbn = "9783642012150",
series = "Advances in Intelligent and Soft Computing",
publisher = "Springer Verlag",
pages = "379--389",
editor = "Hongwei Wang and Yi Shen and Zhigang Zeng and Tingwen Huang",
booktitle = "The Sixth International Symposium on Neural Networks (ISNN 2009)",
address = "Germany",
}