VOICE RECOGNITION APPARATUS, VEHICLE HAVING THE SAME, AND METHOD OF CONTROLLING THE VEHICLE
First Claim
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1. A voice recognition apparatus comprising:
- a context model created by modeling recognition target context; and
a voice recognizer configured to create a candidate group corresponding to a received voice signal based on an acoustic model and the context model, and to apply a high reliability weight value to a candidate having a length of syllables corresponding to a length of speech.
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Abstract
A voice recognition apparatus including: a context model created by modeling recognition target context; and a voice recognizer configured to create a candidate group corresponding to a received voice signal based on an acoustic model and the context model, and to apply a high reliability weight value to a candidate having a length of syllables corresponding to a length of speech.
9 Citations
30 Claims
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1. A voice recognition apparatus comprising:
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a context model created by modeling recognition target context; and a voice recognizer configured to create a candidate group corresponding to a received voice signal based on an acoustic model and the context model, and to apply a high reliability weight value to a candidate having a length of syllables corresponding to a length of speech. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A vehicle comprising:
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a context model created by modeling each name included in a phone book; and a voice recognizer configured to create a phone number candidate group corresponding to a received voice signal based on an acoustic model and the context model, and to respectively apply different reliability weight values determined according to a length of speech to phone number candidates in the phone number candidate group. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A control method of a vehicle, comprising:
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creating a phone number candidate group corresponding to a received voice signal from a context model created by modeling each name included in a phone book; determining reliability weight values according to a length of a user'"'"'s speech; and applying the reliability weight values according to lengths of syllables of phone number candidates. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A vehicle comprising:
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a plurality of context models created by classifying a phone book according to lengths of names; a candidate group search unit configured to create context candidate groups corresponding to a received voice signal from the respective context models; a weight applying unit configured to apply different reliability weight values to the context candidate groups, respectively, such that a context candidate group created from a context model corresponding to a length of a users speech has a high degree of reliability; and a display unit configured to arrange and display the context candidate groups to which the reliability weight values are applied, according to degrees of reliability.
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Specification