Method and device for recognising a phonetic sound sequence or character sequence
First Claim
1. A method for recognizing a phonetic sequence of sounds comprising:
- a) sending the phonetic sequence of sounds to a neural network implemented on a computer,b) forming by the neural network a sequence of features from the phonetic sequence taking into account phonetic stored information,c) selecting a reference combination of features from saved semantical information on the basis of the sequence of features formed in step b), said reference combination of features having a defined meaningful content, and comparing the sequence of features formed in step b) with the reference combination of features,d) repeating step c) with new reference combinations of features until, by minimizing contradictions, a reference combination of features that substantially agrees with the sequence of features formed in step b) is found, ande) if the reference combination of features found in step d) matches one of a plurality of predetermined acceptable combinations of features,then outputting the meaningful content of the reference combination of features found in step d) as a result,else forming a new sequence of features by the neural network in accordance with step b), and repeating steps c) to e).
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Abstract
The invention relates to a method for recognizing a phonetic sound sequence or a character sequence, e.g. according to the ASCII standards, comprising the following steps: a) the sequence is fed to a neural network, b) in said neural network, a sequence of characteristics is formed from the phonetic sequence or character sequence, by taking into consideration phonetic and/or lexical stored information and/or based on a character string sequence (blank characters), c) the character sequence thus formed is compared with a characteristic combination that has a defined statement content, said combination being formed from stored lexical and semantic information, based on the characteristic sequence, d) step c is repeated using new character combinations until, by the reduction of contradictions, a character combination is found that at least largely corresponds with the character sequence, e) the statement content of the character combination with the least number of contradictions is output as the result and/or an action assigned to the statement content is carried out.
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Citations
19 Claims
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1. A method for recognizing a phonetic sequence of sounds comprising:
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a) sending the phonetic sequence of sounds to a neural network implemented on a computer, b) forming by the neural network a sequence of features from the phonetic sequence taking into account phonetic stored information, c) selecting a reference combination of features from saved semantical information on the basis of the sequence of features formed in step b), said reference combination of features having a defined meaningful content, and comparing the sequence of features formed in step b) with the reference combination of features, d) repeating step c) with new reference combinations of features until, by minimizing contradictions, a reference combination of features that substantially agrees with the sequence of features formed in step b) is found, and e) if the reference combination of features found in step d) matches one of a plurality of predetermined acceptable combinations of features, then outputting the meaningful content of the reference combination of features found in step d) as a result, else forming a new sequence of features by the neural network in accordance with step b), and repeating steps c) to e). - View Dependent Claims (2, 3, 4, 5, 6)
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7. A device for detecting a phonetic sequence of sounds, said device comprising:
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an input device for inputting speech, a first memory containing lexical, semantic and phonetic information, a second memory containing permissible command statements, a neural network that accepts the phonetic sequence input in the input device, the neural network having a first level that forms a sequence of features from the phonetic sequence, taking into account the information in the first memory, and also having a second level that, using the information from the first memory, forms combinations of features having a defined meaningful content, a comparison device for comparing the sequence of features formed by the first level of the neural network with the combinations of features formed by the second level of the neural network, an evaluation device for evaluating contradictions between posited combinations of features with the sequence of features, a device that, depending on the result of the evaluation, causes the first level of the neural network to form a new sequence of features, and an output device for displaying the meaningful content of the least contradictory combination of features or for performing a command associated with the meaningful content of the least contradictory combination of features. - View Dependent Claims (8, 9)
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10. A method for recognizing a sequence of characters comprising:
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a) sending the sequence of characters to a neural network implemented on a computer, b) forming by the neural network a sequence of features from the sequence of characters taking into account lexical stored information, c) selecting reference combination of features from saved lexical information on the basis of the sequence of features formed in step b), said reference combination of features having a defined meaningful content, and comparing the sequence of features formed in step b) with the reference combination of features, d) repeating step c) with new reference combinations of features until, by minimizing contradictions, a reference combination of features that substantially agrees with the sequence of features formed in step b) is found, and e) if the reference combination of features found in step (d) matches one of a plurality of predetermined acceptable combinations of features, then outputting the meaningful content of the reference combination of features found in step (d) as a result, else forming a new sequence of features by the neural network in accordance with step b), and repeating steps c) to e). - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A device for detecting a sequence of characters, said device comprising:
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an input device for inputting characters, a first memory containing lexical information, a second memory containing permissible command statements, a neural network that accepts the sequence of characters input by the input device, the neural network having a first level that forms a sequence of features from the sequence of characters, taking into account the information in the memory and also having a second level that, using the information from the first memory, forms combinations of features having a defined meaningful content, a comparison device for comparing the sequence of features formed by the first level of the neural network with the combinations of features formed by the second level of the neural network, an evaluation device for evaluating contradictions of posited combinations of features with the sequence of features, a device that, depending on the result of the evaluation, causes the first level of the neural network to form a new sequence of features, and an output device for displaying the meaningful content of the least contradictory combination of features or for performing a command associated with the meaningful content of the least contradictory combination of features. - View Dependent Claims (18, 19)
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Specification