Presentation 2007-09-28
Blind source separation using single-input-multiple-output-model-based independent component analysis and its application
Tomoya TAKATANI,
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Abstract(in English) Blind source separation (BSS) technique using independent component analysis (ICA) for acoustic signals has been developed over the last decade. This technique assumes that the source signals are mutually independent, and can estimate the source signals from the mixed signals without a priori information. Thus, this technique is highly applicable in hands-free acoustic speech recognition system for car navigation and partner robot, and high-quality hands-free telecommunication system. The conventional ICA-based BSS method is a means of extracting the independent sound source signals as the monaural signals from the mixed signals observed in each input channel, and the separated signals include arbitrary spectral distortions. However, they are basically means of extracting each of the independent sound sourcesas a monaural signal, consequently, they have a serious drawback in that the separated sounds cannot maintain information about the directivity, localization, reverberation, or spatial qualities of each sound source. They also need large amounts of computations to optimize the separation filter. These problems prevent any BSS methods from being applied to binaural signal processing, high-fidelity sound reproduction system, or cascading the array signal processing after ICA. In this paper, to solve the above-mentioned fundamental problem, we propose a novel ICA algorithm, single-input multiple-output (SIMO)-model-base ICA and introduce its application method.
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Keyword(in English) blind source separation / independent component analysis / SIMO model
Paper # EA2007-58
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Conference Information
Committee EA
Conference Date 2007/9/21(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Blind source separation using single-input-multiple-output-model-based independent component analysis and its application
Sub Title (in English)
Keyword(1) blind source separation
Keyword(2) independent component analysis
Keyword(3) SIMO model
1st Author's Name Tomoya TAKATANI
1st Author's Affiliation Toyota Motor Corporation()
Date 2007-09-28
Paper # EA2007-58
Volume (vol) vol.107
Number (no) 240
Page pp.pp.-
#Pages 6
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