1. A speech recognition system comprising: a) a microphone for receiving speech pronounced by a user; b) speech analyzing means for analyzing the speech input via said microphone; c) normalizing and binarizing means for detecting a vocal section of the speech received from the speech analyzing means and for performing a time axis normalization and binarization for said vocal section, said normalizing and binarizing means including first means for, if the output of a first frequency band in said vocal section and time-axis-normalized data is greater than that of a second frequency band which neighbors with said first frequency band, assigning a first state value to said first frequency band, else assigning a second state value to said first frequency band, second means for, if the output of a first frequency band in said vocal-section-detected and time-axis-normalized data is greater than those of its neighboring frequency bands between which said first frequency band is positioned, assigning the first state value to said first frequency band, else assigning the second state value to said first frequency band, and third means for normalizing said vocal-section-detected and time-axis-normalized data at a predetermined proportion, and if an output value of a frequency band is greater than a threshold value assigning the first state value to said frequency band, else assigning the second state value to said frequency band; and d) a multilayer neural network for receiving the binarization data from said normalizing and binarizing means, then performing a learning, to thereby output a speech recognition result.