Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Patent
1996-08-28
1999-08-03
Hudspeth, David R.
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
704251, 704252, 704232, G06K 900
Patent
active
059338067
ABSTRACT:
A system and method are used for recognising a time-sequential input pattern (20), which is derived from a continual physical quantity, such as speech. The system has input means (30), which accesses the physical quantity and therefrom generates a plurality of input observation vectors. The input observation vectors represent the input pattern. A reference pattern database (40) is used for storing a plurality of reference patterns. Each reference pattern includes a sequence of reference units, where each reference unit is represented by at least one associated reference vector .mu..sub.a in a set {.mu..sub.a } of reference vectors. A localizer (50) is used for locating among the reference patterns stored in the reference pattern database (40), a recognised reference pattern, which corresponds to the input pattern. The locating includes selecting a subset {.mu..sub.s } of reference vectors from said set {.mu..sub.a } for each input observation vector o by calculating a measure of dissimilarity between the input observation vector o and each reference vector of the set {.mu..sub.a }. A number of reference vectors .mu..sub.a, whose measures of dissimilarity with said input observation vector o are the smallest, are used as the subset {.mu..sub.s } of reference vectors. The reference vectors of the subset {.mu..sub.s } are used to calculate for each reference pattern, a pattern similarity score. The recognised pattern is one of the reference patterns for which an optimum of the pattern similarity scores is calculated. Output means (70) are used for outputting the recognised pattern.
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Beyerlein Peter
Ullrich Meinhard D.
Abebe Daniel
Hudspeth David R.
U.S. Philips Corporation
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