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We developed a CALL (computer-aided language learning) system for teaching the pronunciation of Japanese long vowels, the mora nasal and mora obstruents to non-native speakers of Japanese. Long vowels and short vowels are spectrally almost identical but their phone durations differ significantly. Similar conditions exist between mora nasals and non-mora(More)
We h a v e built a prototype Automatic Dialogue Sum-marizer (ADS) | a real{time system that automatically generates simple summaries of completely spontaneous human{human spoken dialogues without the machine interrupting the natural ow o f conversation. Two dialogue participants (client and clerk) discuss conference room reservations (CRR) in Japanese, and(More)
We examined pitch patterns within and across intonational phrases of Japanese read aloud by native and non-native (Mandarin Chinese) speakers. Japanese speakers change pitch ranges for each intonational phrase. The relative pitch ranges of neighboring intonational phrases indicate which intonational phrase belongs to which intonational phrase group. Chinese(More)
This paper presents our attempt to model physiological transition effect on syllable F0 contour in order to improve lexical tone recognition performance for Mandarin Chinese. We suggested that a syllable F0 contour consists of three segments: onset course, tone nucleus and offset course. Among the three segments, only tone nucleus contains key features for(More)
We compared pitch patterns of Japanese intonational phrases spoken by a native speaker of Chinese. Several types of pitch errors were distinguished according to pitch contour shapes within and across intonational phrases. These shapes differ categorically from one another—for instance, the learner uses flat contours while the native uses hump-like contours.(More)
In recent years, Computer Assisted Pronunciation Technology (CAPT) systems have been developed that can help Japanese learners to study foreign languages. We have been developing a pronunciation training system to evaluate and correct learner's pronunciation by extracting articulatory-features (AFs). In this paper, we propose a novel pronunciation training(More)