A pitch detection method based on continuous wavelet transform for harmonic signal
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- Chisaki Yoshifumi
- Faculty of Engineering, Kumamoto University
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- Nakashima Hidetoshi
- Graduate School of Science and Technology, Kumamoto University
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- Shiroshita Shuuichi
- Graduate School of Science and Technology, Kumamoto University
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- Usagawa Tsuyoshi
- Graduate School of Science and Technology, Kumamoto University
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- Ebata Masanao
- Kumamoto National College of Technology
Bibliographic Information
- Other Title
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- pitch detection method based on continuous wavelet transform for harmonic signal
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Abstract
In order to track a rapid transient of pitch, a required frame length of some conventional pitch detection methods is too long. Although there are wavelet based pitch detection methods which require only a few periods of pitch for a frame, they are not robust enough against noise. This paper proposes a new pitch detection method which can work properly under noisy environments even if a frame duration is short. The proposed method consists of a power level detector, a signal analyzer, an autocorrelator, a voiced-unvoiced detector and a lag time interpolator. The signal analyzer is based on the continuous wavelet transform using a harmonic analyzing wavelet. Usage of the harmonic analyzing wavelet gives us more information about a pitch in a scalogram. Simulations of pitch detection for a harmonic chirp signal and speech signals are performed. Performances are compared with two conventional pitch detection methods, cepstrum and modified correlation methods. As a result, a performance of a pitch detection by the proposed method under a noisy environment is better than that of the other two conventional methods. In particular, the largest improvement of performance is obtained for male voices.
Journal
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- Acoustical Science and Technology
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Acoustical Science and Technology 24 (1), 7-16, 2003
ACOUSTICAL SOCIETY OF JAPAN
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Details 詳細情報について
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- CRID
- 1390282680065976192
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- NII Article ID
- 110003102799
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- NII Book ID
- AA11501808
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- DOI
- 10.1250/ast.24.7
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- ISSN
- 13475177
- 03694232
- 13463969
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- NDL BIB ID
- 6398550
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- NDL-Digital
- CiNii Articles
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- Abstract License Flag
- Disallowed