Speech recognition system with abbreviated training
First Claim
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1. A method of adapting a speech recognition system to its user, comprising:
- gathering information about a user of a speech recognition system; and
generating a speech model on which the speech recognition system is configured to rely in order to identify speech in utterances of the user, the generating including;
selecting, based on the information about the user, at least a part of a speech model reflecting non-utterance-based estimated speech attributes of the user that differ from those of a greater language speaking population;
running, in the speech recognition system, a speech model including the selected at least a part of a speech model, whereby the speech recognition system relies on the speech model in order to identify speech in the user'"'"'s utterances; and
training, in the speech recognition system, other parts of the speech model, whereby the other parts of the speech model reflect utterance-based identified speech attributes of the user that differ from those of the greater language speaking population;
wherebythe generated speech model includes the selected at least a part of a speech model and the trained other parts of the speech model.
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Abstract
A method of adapting a speech recognition system to its user includes gathering information about a user of a speech recognition system, selecting at least a part of a speech model reflecting estimated speech attributes of the user based on the information about the user, running, in the speech recognition system, a speech model including the selected at least a part of a speech model, and training, in the speech recognition system, other parts of the speech model to reflect identified speech attributes of the user.
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Citations
20 Claims
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1. A method of adapting a speech recognition system to its user, comprising:
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gathering information about a user of a speech recognition system; and generating a speech model on which the speech recognition system is configured to rely in order to identify speech in utterances of the user, the generating including; selecting, based on the information about the user, at least a part of a speech model reflecting non-utterance-based estimated speech attributes of the user that differ from those of a greater language speaking population; running, in the speech recognition system, a speech model including the selected at least a part of a speech model, whereby the speech recognition system relies on the speech model in order to identify speech in the user'"'"'s utterances; and training, in the speech recognition system, other parts of the speech model, whereby the other parts of the speech model reflect utterance-based identified speech attributes of the user that differ from those of the greater language speaking population;
wherebythe generated speech model includes the selected at least a part of a speech model and the trained other parts of the speech model. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of adapting systems of a vehicle, comprising:
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gathering information about a user of a vehicle including a speech recognition system and at least one other system; generating a speech model on which the speech recognition system is configured to rely in order to identify speech in utterances of the user, the generating including; selecting, based on the information about the user, at least a part of a speech model reflecting non-utterance-based estimated speech attributes of the user that differ from those of a greater language speaking population; running, in the speech recognition system, a speech model including the selected at least a part of a speech model, whereby the speech recognition system relies on the speech model in order to identify speech in the user'"'"'s utterances; and training, in the speech recognition system, other parts of the speech model, whereby the other parts of the speech model reflect utterance-based identified speech attributes of the user that differ from those of the greater language speaking population;
wherebythe generated speech model includes the selected at least a part of a speech model and the trained other parts of the speech model; and adapting, based on the information about the user, the at least one other system. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification