Initial word reference signals are built from the finite set of the reference elements and written by means of acoustic-phonetic transcription. The transformations of the initial word references permitting to obtain reference signals of words with the different rate of pronunciation are introduced. Reference phrase signals are composed of reference word signals with the help of special rules. The recognition of a given signal consists in location of the reference signal of a maximum likelihood for the given one and in indication of a word or a word sequence which composes it. Learning algorithm, which finds the transcriptions of words and the set of reference elements allows to adapt to some announcer and to change some part of the dictionary or the whole one. Described method of a recognition gives 1% of errors, 3% of refusals for 300 words. The word recognition in connected speech gives 3% of errors and 7% of refusals.