Nick Jui-Chang Wang

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We h a ve extended the Philips large-vocabulary continuous-speech recognition system towards Chinese. On the way from our existing Western-language technology to Mandarin, the rst step was to build a suitable phonetic model. This paper describes the development of our phonetic model (excluding tones) for Mandarin Chinese. We will present a systematic(More)
BACKGROUND This manuscript compares the efficacy and safety of duloxetine with placebo in Taiwanese women with SUI. METHODS Taiwanese women with SUI were were randomly assigned to placebo (n = 61) or duloxetine 80 mg/day (n = 60) in this double-blind, 8-week, placebo-controlled study. Outcome variables included: incontinence episode frequency (IEF),(More)
The paper presents a novel approach, integrating layer concept information into the trigram language model, to improve the understanding accuracy for spoken dialogue systems. With this approach, both the recognition accuracy and out-of-grammar problem can be largely improved. The concept error rate is therefore reduced. In the experiment using a real-world(More)
This paper describes the Philips Large Vocabulary Continuous Mandarin speech recognition system for the 1999 Taiwan benchmark. The basic system architecture is based on the Philips LVCSR technology developed for Western languages. However, several modifications are made in order to better suitted processing Chinese spoken languages. In the paper, we present(More)