@InProceedings{Short2010_573,
<br/>   author = {Greg Short and Keikichi Hirose and Nobuaki Minematsu},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2010},
<br/>   title = {Pitch Pattern Recognition of Isolated Words for the Development of a Japanese Language Call System},
<br/>   year = {2010},
<br/>   editor = {Hansjörg Mixdorff},
<br/>   month = mar,
<br/>   pages = {304--311},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {A language learning system for guiding a student on how to pronounce
words of a second language must provide meaningful feedback while locating the
learner’s errors with a high accuracy. We propose a method to detect pitch accent
errors in the speech of learners of Japanese. In previous methods, Tokyo accent type
recognition of the learner utterance was focused on. However, the learner may
produce pitch patterns outside of these accent types so it is necessary to be able to
identify all possible pitch level combinations. This paper presents a technique to
identify all patterns. Employing either a 2 mora model or a 3 mora model, this
method identifies pitch level for contiguous two or three mora unit sets. Then it
determines the most likely combination of these units to determine the pitch level
pattern of the word. Through this method we achieved a 93.4% correct pitch level
identification rate at the mora level.},
<br/>   isbn = {978-3-941298-85-9},
<br/>   issn = {0940-6832},
<br/>   keywords = {Language Acquisition and L2 Learning},
<br/>   url = {https://www.essv.de/pdf/2010_304_311.pdf},
<br/>}