Musical source identification based on frequency component features
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- KINOSHITA Tomoyoshi
- University of Tokyo
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- SAKAI Shuichi
- University of Tokyo
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- TANAKA Hidehiko
- University of Tokyo
Bibliographic Information
- Other Title
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- 特徴量に注目した複数楽器の演奏における音源同定処理
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Description
We have previously proposed a processing model OPTIMA for music scene analysis and implemented its experimental system. However, the system was not robust to signals with overlapped frequency components. In this paper, we present a new method that improves this problem by using overlap pattern of frequency components. Weighted template-matching method is applied to identify sound sources repeatedly to each frequency component cluster. The weight is evaluated according to the significance of each feature of the signal to a combination of overlapped components. The experimental results show that the system can identify sound sources of 60 to 69% of musical notes. It also showed improvement the accuracy about 5%, compared to the result without the proposed mechanism.
Journal
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- IPSJ SIG Notes
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IPSJ SIG Notes 29 49-54, 1999-02-18
Information Processing Society of Japan (IPSJ)
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Keywords
Details 詳細情報について
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- CRID
- 1572824502059292032
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- NII Article ID
- 110002935630
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- NII Book ID
- AN10438388
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- ISSN
- 09196072
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- Text Lang
- ja
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- Data Source
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- CiNii Articles