Speaker-independent spoken digits recognition using LVQ

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Presents a spoken Japanese digits recognition system using LVQ (learning vector quantization). LVQ is very effective for phoneme recognition and its algorithm is very simple. The authors try to utilize the LVQ algorithm using a word, not a phoneme, as one unit. Input vectors in the authors' system are the mel-cepstrum coefficients generated from beginning points to end points of spoken digits. In the recognition process the authors only find the closest reference vector to the input vector. Experiments are executed for two cases. One is for some isolated spoken digits. The other is for some continuous spoken digits (the speech speed, V, is 1 >

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