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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)
We present benchmark results of automatic speech recognition using the Corpus of Spontaneous Japanese (CSJ), which has been developed in the five-year national project and will be the largest spontaneous speech databases. New test-sets are designed for both academic presentation speech and extemporaneous public speech, which are the two major categories in(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 proposes the use of decision trees for analyzing errors in spontaneous presentation speech recognition. The trees are designed to predict whether a word or a phoneme can be correctly recognized or not, using word or phoneme attributes as inputs. The trees are constructed using training " cases " by choosing questions about attributes step by step(More)