| 一种基于频率特征及动态窗长的钢琴调音算法 |
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| 引用本文： | 潘阳,魏梨君.一种基于频率特征及动态窗长的钢琴调音算法[J].信息技术,2011(5):155-156,160. |
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| 作者姓名： | 潘阳 魏梨君 |
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| 作者单位： | 1. 安徽大学计算机科学与技术学院,合肥,230039
2. 阜阳师范学院计算机与信息学院,阜阳,236037 |
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| 摘 要： | 时域分析法是一种基本的语音分析方法。由于钢琴乐音模型与语音模型相似,故语音时域分析法可被用于钢琴乐音分析中。提出一种基于频率特征及动态窗长的钢琴基音识别时域算法,该算法能根据检测目标设计更为合适的分帧加窗模式,经过实验,可有效地提高检测精度及速度,在钢琴调音及单乐音基音识别应用中具有推广意义。
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| 关 键 词： | 基音检测 短时自相关 动态窗长 频率特征 时域分析 |
A time-domain algorithm for tuning the piano based on the frequency characteristics and dynamic window |
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| PAN Yang,WEI Li-jun.A time-domain algorithm for tuning the piano based on the frequency characteristics and dynamic window[J].Information Technology,2011(5):155-156,160. |
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| Authors: | PAN Yang WEI Li-jun |
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| Affiliation: | 1.School of Computer Science and Technology,Anhui University,Hefei 230039,China;2.School of Computer and Information,Fuyang Normal College,Fuyang 236037,China) |
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| Abstract: | Time domain processing is a basic method of speech analysis.Because the model of piano musical tone is similar to the speech model,the speech time-domain analysis can be used in the analysis of piano musical tone.This paper puts forward a time-domain algorithm of piano pitch recognition based on the frequency characteristics and dynamic window,this algorithm can design more appropriate mode of frame and window according to the detect targets,and also can effectively improve the detection accuracy and speed through the experiments,this method has popularization in the applications of piano tuning and pitch detection of single musical tone. |
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| Keywords: | pitch detection short-time autocorrelation dynamic window frequency characteristics time domain analysis |
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