NORMALIZATION SYSTEM FOR SPECTROGRAM

摘要

PURPOSE:To decrease quantization distortions while using the conventional code book and to enable the normalization of a spectrogram with high accuracy without increasing the leaning words in speaker adaptation by introducing the fuzzy vector quantization which expresses input vectors by the degree of reversion to the existing code book. CONSTITUTION:The fuzzy vector quantization which expresses the input vector by the degree of the reversion from the existing code vector is executed in accordance with a digitized speech signal and thereafter, the spectrogram is extracted and the correspondence is executed between the different speakers with respect to the code book of the vector quantization. The spectrogram is normalized in accordance with this correspondence. The fuzzy vector quantization expressing the input vector by the degree of reversion to the existing code book is thereby executed and the correspondence between the different speakers is executed by using the conventional code book. The normalization of the spectrogram is executed in accordance with this correspondence. The quantization distortions are thereby decreased and the normalization of the spectrogram is executed with the high accuracy without increasing the leaning words in the speaker adaptation.