FIELD: data processing.
SUBSTANCE: group of inventions relates to natural language processing. Method includes: receiving an indication of a user's speech fragment; generating at least two hypotheses; generation of a set of paired hypotheses by an electronic device from said at least two hypotheses, one of which contains a first hypothesis paired with a second hypothesis; determining for one pair of paired hypotheses from a pair of paired estimates of pair estimation; generating a set of features of a speech fragment indicating one or more characteristics associated with that fragment of user speech; ranking the first hypothesis and the second hypothesis based on at least a pair estimate and a set of features of said speech fragment and selecting a first hypothesis as a text representation of that fragment of the user's oral speech if the first hypothesis represents a hypothesis with the highest rank.
EFFECT: technical result is generation of a text representation of a fragment of user's oral speech taking into account user characteristics and acoustic properties of a speech fragment.
20 cl, 7 dwg
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|
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METHOD AND SYSTEM FOR RANKING DIGITAL OBJECTS BASED ON TARGET CHARACTERISTIC RELATED TO THEM | 2019 |
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RU2757174C2 |
METHOD AND SYSTEM FOR GENERATING RECOMMENDATIONS OF DIGITAL CONTENT | 2018 |
|
RU2731335C2 |
Authors
Dates
2020-09-01—Published
2019-03-25—Filed