FIELD: automatic control and computer engineering; speech understanding systems, control systems for process equipment and robots, computer hardware and software, computer-aided speech translation, reference systems, etc. SUBSTANCE: omitting phonemic conversion level, lexical decoding network builds hypotheses about probable beginning, continuation, or end of words in speech and most probable sequences of standard words corresponding to delivered speech are compiled. Pronounced words may continuously follow each other in any order or may be separated by pauses or words which do not belong to assigned set of words. Proposed lexical decoding network is essentially integrated data base incorporating orthographic presentation of assigned set of words, expected acoustic presentation of assigned set of words in the form of sequence of standard meanings of speech signal parameter determining acoustic conditions and combining phonetic transcription, phonologic rules, and vocabulary for assigned set of words. System implementing this method has series-connected acoustic and lexical analyzers. Acoustic analyzer incorporates pre-processing unit, frequency spectrum analyzer, spectrum value storage buffer, weight coefficient and current acoustic condition calculators. Lexical analyzer has expected acoustic condition identifier, unit for comparison with standard, comparison estimate storage unit, control unit, optimal estimate selection and top marking unit, boundary top data base storage unit, check unit, probable top storage unit, local top data base storage unit, acoustic condition data base storage unit, word data base storage unit, lexical hypotheses shaper, lexical hypotheses storage unit, and output unit. EFFECT: improved accuracy and speed of interpreting fused Russian speech. 2 cl, 19 dwg
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Authors
Dates
1998-09-20—Published
1997-10-27—Filed