Presentation	2013-12-12 Enhancement and Separation for Speech Signals Arata KAWAMURA,
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Abstract(in English)	In this paper, we discus about three main topics of speech processing technologies. First, we review and discuss about a speech spectrogram which is well known as a powerful tool of analysis, processing, and evaluation for speech signals. Second, we explain some effective speech enhancers in frequency domain. We can say that the aim of these methods is to obtain an ideal speech spectrogram from a noisy spectrogram. Then, two blind source separation methods are presented. Each of them can separate multiple source signals without a knowledge of mixture process.
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Keyword(in English)	speech processing / spectrogram / speech enhancement / noise suppression / blind source separation
Paper #	SIS2013-35
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Committee	SIS
Conference Date	2013/12/5(1days)
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Registration To	Smart Info-Media Systems (SIS)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Enhancement and Separation for Speech Signals
Sub Title (in English)
Keyword(1)	speech processing
Keyword(2)	spectrogram
Keyword(3)	speech enhancement
Keyword(4)	noise suppression
Keyword(5)	blind source separation
1st Author's Name	Arata KAWAMURA
1st Author's Affiliation	Graduate School of Engineering Science, Osaka University()
Date	2013-12-12
Paper #	SIS2013-35
Volume (vol)	vol.113
Number (no)	343
Page	pp.pp.-
#Pages	6
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