Method for recognizing speech
First Claim
1. Method for recognizing speech, comprising the steps of receiving a speech phrase;
- generating a signal being representative to said speech phrase;
pre-processing and storing said signal with respect to a determined set of rules;
generating from said pre-processed signal at least one series of hypothesis speech elements;
determining at least one series of words being most probable to correspond to said speech phrase by applying a predefined language model to at least said series of hypothesis speech elements, wherein the step of determining said series of words further comprises the steps of;
at first determining at least one sub-word, word or a combination of words most probably being contained as a seed sub-phrase in said received speech phrase;
then continuing determining words or combinations of words and which are consistent with said seed sub-phrase as at least a first successive sub-phrase which is contained in said received speech phrase by using and evaluating additional and paired and/or higher order information between the sub-phrases, thereby decreasing the burden of searching.
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Abstract
A method for recognizing speech is suggested.
It is one of the objectives of the inventive method to reduce the complexity and therefore the burden of search within the set of possible candidates for a speech phrase to be recognized.
The objective is achieved by a method in which regions of high complexity of a recognition grammar are paired with regions of lower perplexity by using additional constraints. The search proceeds then by evaluating the low-perplexity region of the grammar first finding word candidates which are used to limit the search effort that needs to be expended when recognizing the parts of speech corresponding to the higher perplexity part of the recognition grammar.
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Citations
12 Claims
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1. Method for recognizing speech, comprising the steps of
receiving a speech phrase; -
generating a signal being representative to said speech phrase;
pre-processing and storing said signal with respect to a determined set of rules;
generating from said pre-processed signal at least one series of hypothesis speech elements;
determining at least one series of words being most probable to correspond to said speech phrase by applying a predefined language model to at least said series of hypothesis speech elements, wherein the step of determining said series of words further comprises the steps of;
at first determining at least one sub-word, word or a combination of words most probably being contained as a seed sub-phrase in said received speech phrase;
then continuing determining words or combinations of words and which are consistent with said seed sub-phrase as at least a first successive sub-phrase which is contained in said received speech phrase by using and evaluating additional and paired and/or higher order information between the sub-phrases, thereby decreasing the burden of searching. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification