This paper investigates the features that determine the sentence pronunciation difficulty for Korean speakers of English. We selected three types of features: length, word frequency, and phonemes that Korean speakers generally replace with other phonemes. We used support vector machines and a multiple linear regression model to determine the pronunciation difficulty of given sentences, and meas...

Computer-assisted prosody training (CAPT) has so far mainly been used to teach foreign languages, although is still hardly taken into account in language leraning. Conversely, receives a lot of attention studies and activities related public-speaker training. But, despite that, CAPT tools are practically unknown this type The present paper addresses gap introduces the “Web Pitcher”, new browser...

Consonant and vowel sounds of English (segmentals) carry a significant weight in communication. Pronunciation instruction focusing on segmental features has been found to be highly effective (e.g., Thomson & Derwing, 2015). However, students with different first languages (L1) or even from the same L1 backgrounds, have pronunciation needs. With limited class time, teachers cannot expected c...

CMDCM Chris Angstead MARFORPAC Dr. James Bagian University of Michigan Dr. Brad Bennett NMCP Dr. David Callaway Beth Israel Deaconess Medical Center Dr. Howard Champion USUHS COL Virgil Deal, Jr USSOCOM Col Warren Dorlac USAF Trauma Consultant CAPT James Dunne USN Trauma Specialty Leader Dr. John Gandy Emergency Medicine-Las Vegas, NV COL Jonathan Jaffin OTSG CAPT Kenneth Kelly Tripler AMC Dr. ...

In this paper, we propose an application of confusion network for Mandarin mispronunciation detection. Compared to former published works, which are proven to work effectively and robustly in detecting mispronunciation in word level and only successfully detect mispronunciation in sentence level in strictly small constrained search space, our modified confusion network based Computer-aided Pron...

Recognition accuracy for non-native speech is often too low to make practical use of ASR technology in interfaces such as CAPT systems. This paper describes how we adapted Korean ASR system to Chinese speakers for building a Korean CAPT system for L1 Mandarin Chinese learners by modeling pronunciation variations frequently produced by Chinese learners. Based on pronunciation variation rules des...

Work in the last decade shows, that Computer-Assisted Pronunciation Teaching (CAPT) systems are useful, flexible tools for giving pronunciation instructions and evaluating at subject’s speech. This paper describes a newly developed CAPT system that intends to address appropriate teaching of such supra-segmental parameters as intonation, stress and speech rhythm. Two modules are implemented: (1)...