Presentation 2002/2/25
Blind Source Separation for Speech and Acoustic Signals
Hiroshi SARUWATARI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper reviews several techniques of blind source separation (BSS) used for speech and acoustic signals. These techniques can be classified into two main groups in terms of the type of processing, i.e., frequency-domain independent component analysis (FDICA) and time-domain independent component analysis (TDICA). First, conventional BSS methods based on FDICA and TDICA are briefly reviewed and their drawbacks are discussed. In particular, the trade-off problem between the number of subbands and independence among narrow-band signals in FDICA is explained in detail with the extensive results of speech-separation experiments. Next, we introduce a multistage ICA method proposed in our recent works by emphasizing the effectiveness regarding the signal-separation performances under a reverberant condition.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Blind source separation / Independent component analysis / Speech and acoustic signals / Reverberation
Paper # CS2001-134
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Conference Information
Committee CS
Conference Date 2002/2/25(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Blind Source Separation for Speech and Acoustic Signals
Sub Title (in English)
Keyword(1) Blind source separation
Keyword(2) Independent component analysis
Keyword(3) Speech and acoustic signals
Keyword(4) Reverberation
1st Author's Name Hiroshi SARUWATARI
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
Date 2002/2/25
Paper # CS2001-134
Volume (vol) vol.101
Number (no) 669
Page pp.pp.-
#Pages 8
Date of Issue