کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4973694 1451684 2017 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Intonation classification for L2 English speech using multi-distribution deep neural networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Intonation classification for L2 English speech using multi-distribution deep neural networks
چکیده انگلیسی
This paper investigates the use of multi-distribution deep neural networks (MD-DNNs) for automatic intonation classification in second-language (L2) English speech. If a classified intonation is different from the target one, we consider that mispronunciation is detected and appropriate diagnostic feedback can be provided thereafter. To transcribe speech data for intonation classification, we propose the RULF labels which are used to transcribe an intonation as rising, upper, lower or falling. These four types of labels can be further merged into two groups - rising and falling. Based on the annotated data from 100 Mandarin and 100 Cantonese learners, we develop an intonation classifier, which considers only 8 frames (i.e., 80 ms) of pitch value prior to the end of the pitch contour over an intonational phrase (IP). This classifier determines the intonation of L2 English speech as either rising or falling with an accuracy of 93.0%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Speech & Language - Volume 43, May 2017, Pages 18-33
نویسندگان
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