Method of learning in a speech recognition system
First Claim
1. In a speech recognition system comprising a dictionary for storing parameter sets associated with respective references and means for carrying out recognition tests, wherein each recognition test matches a speech segment supplied to the system with at least one parameter set from said dictionary, a learning method for generating an entry in said dictionary in association with a reference, which comprises obtaining a plurality of speech segments each pronounced by a speaker to correspond to said reference, and processing said plurality of speech segments, said processing comprising the steps of:
- /a/ estimating a provisional version of a parameter set on the basis of at least one of said plurality of speech segments;
/b/ storing said provisional version in the dictionary in association with said reference;
/c/ submitting at least one of said plurality of speech segments to a recognition test; and
/d/ modifying the provisional version stored in a manner depending on whether said recognition test matches said speech segment with said provisional version or not.
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Accused Products
Abstract
A recognition test matches a speech segment supplied to the system with a set of parameters associated with a reference and memorized in a dictionary. A provisional version of each set of parameters to be memorized in the dictionary in association with a reference is estimated on the basis of one or more segments of speech, after which the provisional version is memorized in the dictionary in association with the reference. At least one repetition of the speech segment is submitted to a recognition test, after which depending on whether it has matched the speech segment with the provisional version, the provisional version is modified and the modified provisional version is memorized.
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Citations
10 Claims
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1. In a speech recognition system comprising a dictionary for storing parameter sets associated with respective references and means for carrying out recognition tests, wherein each recognition test matches a speech segment supplied to the system with at least one parameter set from said dictionary, a learning method for generating an entry in said dictionary in association with a reference, which comprises obtaining a plurality of speech segments each pronounced by a speaker to correspond to said reference, and processing said plurality of speech segments, said processing comprising the steps of:
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/a/ estimating a provisional version of a parameter set on the basis of at least one of said plurality of speech segments; /b/ storing said provisional version in the dictionary in association with said reference; /c/ submitting at least one of said plurality of speech segments to a recognition test; and /d/ modifying the provisional version stored in a manner depending on whether said recognition test matches said speech segment with said provisional version or not. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification