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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)
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)
V arious modern techniques that form the basis of fundamental technologies underlying today's automatic speech recognition (ASR) research and applications have recently attracted new attention. These techniques have significantly contributed to the progress in ASR as a field of research. This special issue of IEEE Signal Processing Magazine (SPM) intends to(More)