On low-level cognitive components of speech

被引：0
|
作者：
Feng, Ling [1 ]
Hansen, Lars Kai [1 ]
机构：
[1] Tech Univ Denmark, Intelligent Signal Proc, Lyngby, Denmark
来源：
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 2, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we analyze speech for low-level cognitive features using linear component analysis. We demonstrate generalizable component fingerprints' stemming from both phonemes and speakers. Phonemes are fingerprints found at the basic analysis window time scale (20 msec), while speaker 'voiceprints' are found at time scales around 1000 msec. The analysis is based on homomorphic filtering features and energy based sparsification.
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页码：852 / +
页数：2
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