Yoshio Ono

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In this paper, we propose a new speaker adaptation algorithm that employs vocal tract length normalization (VTLN) with generation-dependent acoustic models, and prove its validity with various generation subjects including small children and aged people. Children and aged people have particular features in their pronunciations. For e xample, children, whose(More)
In this paper we introduce an effective speaker adaptation technique to our unique compact speech recognizer especially designed for consumer electronics products. The compact ASR method we have developed in our previous work employs phoneme similarities as feature parameters, which are extracted temporally successive matching between speech sample and 24(More)
We present constrained time alignment acoustic models based on phonetic knowledge and a speaker independent speech recognition method using our proposed models. Japanese syllable and isolated word recognition experiments show that the models have robustness to intra-and inter-speaker varieties such as acoustic diversity. Furthermore we experiment with word(More)
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