Presentation | 2007-03-16 Instrument Identification Using Line Spectral Pairs Mizuki IHARA, Shin-ichi MAEDA, Shin ISHII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To model sound or speech production processes can be applied to audio encoding, talker and instrument identification and their synthesis. In this study, we propose the efficient representation of instrument features by comparing the accuracies of instrument identification using the same classification method with that of existing studies. Although other identification strategies use from double digits to more than 100 features, this proposed method demonstrates almost the same or higher identification rate with lower number of features around 10. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Line Spectral Pairs / Feature Extraction / Instrument Identification / Acoustical Filter / Dimension Reduction |
Paper # | NC2006-207 |
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Committee | NC |
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Conference Date | 2007/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Instrument Identification Using Line Spectral Pairs |
Sub Title (in English) | |
Keyword(1) | Line Spectral Pairs |
Keyword(2) | Feature Extraction |
Keyword(3) | Instrument Identification |
Keyword(4) | Acoustical Filter |
Keyword(5) | Dimension Reduction |
1st Author's Name | Mizuki IHARA |
1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
2nd Author's Name | Shin-ichi MAEDA |
2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
3rd Author's Name | Shin ISHII |
3rd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
Date | 2007-03-16 |
Paper # | NC2006-207 |
Volume (vol) | vol.106 |
Number (no) | 590 |
Page | pp.pp.- |
#Pages | 4 |
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