Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
2006-08-17
2009-08-04
Sked, Matthew J (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
C704S201000, C704S239000, C704S270000, C707S793000
Reexamination Certificate
active
07571093
ABSTRACT:
A method of identifying duplicate voice recording by receiving digital voice recordings, selecting one of the recordings; segmenting the selected recording, extracting a pitch value per segment, estimating a total time that voice appears in the recording, removing pitch values that are less than and equal to a user-definable value, identifying unique pitch values, determining the frequency of occurrence of the unique pitch values, normalizing the frequencies of occurrence, determining an average pitch value, determining the distribution percentiles of the frequencies of occurrence, returning to the second step if additional recordings are to be processed, otherwise comparing the total voice time, average pitch value, and distribution percentiles for each recording processed, and declaring the recordings duplicates that compared to within a user-definable threshold for total voice time, average pitch value, and distribution percentiles.
REFERENCES:
patent: 6067444 (2000-05-01), Cannon et al.
patent: 6766523 (2004-07-01), Herley
patent: 7035867 (2006-04-01), Thompson et al.
patent: 7120581 (2006-10-01), Kahn et al.
patent: 7421305 (2008-09-01), Burges et al.
patent: 2005/0182629 (2005-08-01), Coorman et al.
Morelli Robert D.
Sked Matthew J
The United States of America as represented by the Director, Nat
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