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Minimizing word error rate in a dyslexic reading-oriented ASR engine using phoneme refinement and alternative pronunciation

Little attention has been given to detecting miscues in the text space read by dyslexic children over an automatic speech recognition (ASR) engine. In an ASR system, the miscues are represented by word error rate (WER) and miscue detection rate (MDR). At all time, WER must be kept low, and MDR high...

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書誌詳細
主要な著者:	Husni, Husniza, Jamaludin, Zulikha
フォーマット:	Book Section
言語:	English
出版事項:	IATED publication 2010
主題:	QA75 Electronic computers. Computer science
オンライン･アクセス:	http://repo.uum.edu.my/1339/1/Abrack_view_Zulaikha%2C_J..pdf http://repo.uum.edu.my/1339/ http://www.iated.org
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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