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Although high-recognition accuracy can be obtained for speech in the form of reading a written text or similar by using state-of-the art speech recognition technology, the accuracy is quite poor for freely spoken spontaneous speech. From this perspective, a new national project for raising the technological level of speech recognition and understanding has(More)
SUMMARY In this paper, we propose a new method of automatic speech summarization for each utterance, where a set of words that maximizes a summarization score is extracted from automatic speech transcriptions. The summarization score indicates the appropriateness of summarized sentences. This extraction is achieved by using a dynamic programming technique(More)
This paper presents a new method for automatically generating abbreviations for Chi-nese organization names. Abbreviations are commonly used in spoken Chinese, especially for organization names. The generation of Chinese abbreviation is much more complex than English abbreviations, most of which are acronyms and truncations. The abbreviation generation(More)
This paper examines the relationship between dynamic spectral features and the identification of Japanese syllables modified by initial and/or final truncation. The experiments confirm several main points. "Perceptual critical points," where the percent correct identification of the truncated syllable as a function of the truncation position changes(More)