Probabilistic spectral envelope modeling of musical instruments within the non-negative matrix factorization framework for mixed music analysis
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- Nakashika Toru
- Graduate School of System Informatics, Kobe University
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- Takiguchi Tetsuya
- Organization of Advanced Science and Technology, Kobe University
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- Ariki Yasuo
- Organization of Advanced Science and Technology, Kobe University
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説明
Non-negative matrix factorization (NMF) has been one of the most useful techniques for musical signal analysis in recent years. In particular, supervised NMF, in which a large number of instrumental samples are used for the analysis, is garnering much attention with respect to analytical accuracy and speed. The accuracy, however, deteriorates if the system does not have enough samples. Therefore, in principle, such methods require as many samples as possible in order for the analysis to be accurate. In this paper, we propose an analysis method that 1) does not require the collection of a large number of training samples, and 2) combines the NMF and probabilistic approaches. In this approach, it is assumed that each instrumental category has a model-invariant feature, called a probabilistic spectral envelope (PSE). As an extension of a spectral envelope, this feature represents the probabilities of spectral envelopes belonging to the instrumental category in a two-dimensional (frequency-amplitude) space. The analysis of an input musical signal is carried out using a supervised NMF framework, where the basis matrix contains the optimum spectra that have been generated from pretrained PSEs.
収録刊行物
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- Acoustical Science and Technology
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Acoustical Science and Technology 35 (4), 181-191, 2014
一般社団法人 日本音響学会
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詳細情報 詳細情報について
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- CRID
- 1390001205090499840
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- NII論文ID
- 130004137810
- 40020103316
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- NII書誌ID
- AA11501808
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- ISSN
- 13475177
- 03694232
- 13463969
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- NDL書誌ID
- 025542860
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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
- NDL
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- 使用不可