发明名称 |
TEXT DEPENDENTSPEAKER RECOGNITION WITH LONG-TERM FEATURE BASED ON FUNCTIONAL DATA ANALYSIS |
摘要 |
One or more test features are extracted from a time domain signal. The test features are represented by discrete data. The discrete data is represented for each of the one or more test features by a corresponding one or more fitting functions, which are defined in terms of finite number of continuous basis functions and a corresponding finite number of expansion coefficients. Each fitting function is compressed through Functional Principal Component Analysis (FPCA) to generate corresponding sets of principal components. Each principal component for a given test feature is uncorrelated to each other principal component for the given test feature. A distance between a set of principal components for the given test feature and a set of principal components for one or more training features with the processing system is calculated. The test feature is classified according to the distance calculated with the processing system.
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申请公布号 |
US2013268272(A1) |
申请公布日期 |
2013.10.10 |
申请号 |
US201313799647 |
申请日期 |
2013.03.13 |
申请人 |
ZHANG CHENHAO;CHEN RUXIN;ZHENG THOMAS FANG;SONY COMPUTER ENTERTAINMENT INC. |
发明人 |
ZHANG CHENHAO;CHEN RUXIN;ZHENG THOMAS FANG |
分类号 |
G10L17/00 |
主分类号 |
G10L17/00 |
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