1. A speech recognition system for recognizing, as a concatenation of selected ones of first through N-th reference words, an input pattern representing connected words and having a pattern time axis defining first through I-th pattern time instants, where N represents a predetermined natural number and I represents a positive integer dependent on said input pattern, said speech recognition system comprising: first through N-th neural networks representing said first through said N-th reference words and having first through N-th reference time axes, respectively; supply means for supplying said input pattern to said first through said N-th neural networks in compliance with a mapping function mapping each of said first through said N-th reference time axes and said pattern time axis onto each other to make said first through said N-th neural networks produce first through N-th output signals, respectively, said first through said N-th output signals depending on said mapping function and on a plurality of relation functions each of which relates each of said first through said N-th reference words to a portion defined in said input pattern by a plurality of consecutive ones of said first through said I-th pattern time instants; and determining means for determining said selected ones of first through N-th reference words based on optimum ones of said relation functions that maximize summations of said first through said N-th output signals.
1. A speech recognition system for recognizing, as a concatenation of selected ones of first through N-th reference words, an input pattern representing connected words and having a pattern time axis defining first through I-th pattern time instants, where N represents a predetermined natural number and I represents a positive integer dependent on said input pattern, said speech recognition system comprising: first through N-th neural networks representing said first through said N-th reference words and having first through N-th reference time axes, respectively; supply means for supplying said input pattern to said first through said N-th neural networks in compliance with a mapping function mapping each of said first through said N-th reference time axes and said pattern time axis onto each other to make said first through said N-th neural networks produce first through N-th output signals, respectively, said first through said N-th output signals depending on said mapping function and on a plurality of relation functions each of which relates each of said first through said N-th reference words to a portion defined in said input pattern by a plurality of consecutive ones of said first through said I-th pattern time instants; and determining means for determining said selected ones of first through N-th reference words based on optimum ones of said relation functions that maximize summations of said first through said N-th output signals. 6. A speech recognition system as claimed in claim 1, further comprising finite-state automation means for controlling said relation function.