On-Line Nonnegative Matrix Factorization Method Using Recursive Least Squares for Acoustic Signal Processing Systems
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- LEE Seokjin
- INMC, Seoul National University
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- PARK Sang Ha
- INMC, Seoul National University
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- SUNG Koeng-Mo
- INMC, Seoul National University
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抄録
In this paper, an on-line nonnegative matrix factorization (NMF) algorithm for acoustic signal processing systems is developed based on the recursive least squares (RLS) method. In order to develop the on-line NMF algorithm, we reformulate the NMF problem into multiple least squares (LS) normal equations, and solve the reformulated problems using RLS methods. In addition, we eliminate the irrelevant calculations based on the NMF model. The proposed algorithm has been evaluated with a well-known dataset used for NMF performance evaluation and with real acoustic signals; the results show that the proposed algorithm performs better than the conventional algorithm in on-line applications.
収録刊行物
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E94-A (10), 2022-2026, 2011
一般社団法人 電子情報通信学会
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詳細情報
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- CRID
- 1390282681288271616
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- NII論文ID
- 10030191295
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- NII書誌ID
- AA10826239
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- BIBCODE
- 2011IEITC..94.2013L
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- ISSN
- 17451337
- 09168508
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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
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- 使用不可