Speech Independent Component Analysis

Speech is assumed that its production come from some different sources. Based on the independent component analysis, we separate its independent component from a speech and discuss the correlation and formants traits of these independent component signals. The synthesized speech is produced with the...

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Main Authors: Hong Wei, Xinling Shi, Jian Yang, Yuanyuan Pu
Format: Conference Proceeding
Language:English
Subjects:
Automation
Correlation
Formants
Frequency
Hidden Markov models
ICA
Independent component analysis
Information science
LPC power spectrum
Mechatronics
Signal processing algorithms
Speech analysis
Speech synthesis
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creator Hong Wei
Xinling Shi
Jian Yang
Yuanyuan Pu
description Speech is assumed that its production come from some different sources. Based on the independent component analysis, we separate its independent component from a speech and discuss the correlation and formants traits of these independent component signals. The synthesized speech is produced with the independent component features, and the power spectrum of these independent components is proved to be complimentary by the experimental results.
doi_str_mv 10.1109/ICMTMA.2010.604
format conference_proceeding
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Automation
Correlation
Formants
Frequency
Hidden Markov models
ICA
Independent component analysis
Information science
LPC power spectrum
Mechatronics
Signal processing algorithms
Speech analysis
Speech synthesis
title Speech Independent Component Analysis
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