Frequency Domain Independent Component Analysis Without Permutation and Scale Indeterminacy
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- Ishibashi Takaaki
- Department of Information, Communication and Electronic Engineering, Kumamoto National College of Technology
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- Inoue Katsuhiro
- School of Computer Science and Systems Engineering, Kyushu Institute of Technology
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- Gotanda Hiromu
- Faculity of Humanity-Oriented Science and Engineering, Kinki University
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- Kumamaru Kousuke
- School of Computer Science and Systems Engineering, Kyushu Institute of Technology
抄録
Under multi-source and multi-microphone configurations, it is clarified that the decomposed spectrum is uniquely expressed in terms of the product of a source and its transfer function to the corresponding microphone. We propose a new method for solving the permutation problem inherent in FDICA (frequency domain independent component analysis) by utilizing prior information about the relative position of sound sources. The proposed method can also solve the channel selection problem for the target sound estimation, which is critical to a practical application of FDICA. The proposed methods have been verified by several experiments in a real environment.
収録刊行物
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- Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
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Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2010 (0), 190-195, 2010-05-05
システム制御情報学会ストカスティックシステムシンポジウム
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詳細情報 詳細情報について
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- CRID
- 1390564237988809088
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- NII論文ID
- 130007377263
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- ISSN
- 21884749
- 21884730
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可