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This paper proposes a method of stormwater inflow prediction using radar rainfall data as the input of the prediction model constructed by system identification. The aim of the proposal is to construct a compact system by reducing the dimension of the input data. In this paper, Principal Component Analysis (PCA), which is widely used as a statistical method(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)
Ag(+)-exchanged zeolites exhibit unique catalytic properties caused by the combination of their redox and acidic properties. Partial reduction of Ag(+) ions in zeolites with hydrogen leads to the formation of acidic protons and silver metal particles, which can be observed using X-ray powder diffraction patterns (XRD). By simply evacuating hydrogen from the(More)
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)
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