US2008010067A1PendingUtilityA1

Target specific data filter to speed processing

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Assignee: CHAUDHARI UPENDRA VPriority: Jul 7, 2006Filed: Jul 7, 2006Published: Jan 10, 2008
Est. expiryJul 7, 2026(expired)· nominal 20-yr term from priority
G10L 17/02
46
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Claims

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.

Claims

exact text as granted — not AI-modified
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.   
   
   
       2 . The method of  claim 1  wherein the speakers are divided into groups of speakers and the filters are generated and used for each group of speakers. 
   
   
       3 . The method of  claim 2  wherein the labels for the groups of speakers are priority ranked. 
   
   
       4 . The method of  claim 1  wherein the data is pre-labeled. 
   
   
       5 . A speaker recognition system using a computer, which comprises:
 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.   
   
   
       6 . The system of  claim 5  wherein the labels are phonetic.

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