Target specific data filter to speed processing
First Claim
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1. A method for reducing the amount of speech data for detecting desired speakers comprising:
- receiving a plurality of speech data from a plurality of speakers;
labeling the speech data;
providing a speaker dependent filter which employs a label priority ranking of the labeled speech data for each of the speakers, and the ranking is generated by prioritizing the labeled speech data according to a performance criterion for each of the plurality of speakers;
analyzing the labeled speech data according to the priority rank of the label of the speech data for a specific speaker, wherein specified lower priority labeled speech data is dropped or filtered out such that less speech data is analyzed.
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Abstract
A method is presented which reduces data flow and thereby increases processing capacity while preserving a high level of accuracy in a distributed speech processing environment for speaker detection. The method and system of the present invention includes filtering out data based on a target speaker specific subset of labels using data filters. The method preserves accuracy and passes only a fraction of the data by optimizing target specific performance measures. Therefore, a high level of speaker recognition accuracy is maintained while utilizing existing processing capabilities.
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Citations
6 Claims
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1. A method for reducing the amount of speech data for detecting desired speakers comprising:
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receiving a plurality of speech data from a plurality of speakers; labeling the speech data; providing a speaker dependent filter which employs a label priority ranking of the labeled speech data for each of the speakers, and the ranking is generated by prioritizing the labeled speech data according to a performance criterion for each of the plurality of speakers; analyzing the labeled speech data according to the priority rank of the label of the speech data for a specific speaker, wherein specified lower priority labeled speech data is dropped or filtered out such that less speech data is analyzed. - View Dependent Claims (2, 3, 4)
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5. A speaker recognition system using a computer, which comprises:
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a plurality of speech data from a plurality of speakers stored on a computer; a labeler element for analyzing the speech data and labeling the data, a speech data filter including a filter element for arranging the labels in a priority rank and the speech data filter designed according to a performance criterion for each of the plurality of speakers; and a recognition element for analyzing the labeled data in accordance with the priority rank as determined by the speech data filter. - View Dependent Claims (6)
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Specification