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峰值频率大相关-小残差的弦乐器校音方法; Peak-frequency maximum-correlation minimum-residual tuning algorithm
唐骏 ; 刘虹
2014-12-06
关键词弦乐器 校音 基频 频谱细化 stringed instrument tuning fundamental frequency spectrum zoom
英文摘要针对弦乐器校音中如何确定音的基频,提出了一种时频域相结合的峰值频率大相关、小残差(PEAk-frEQuEnCy MAXIMuM-COrrElATIOn MInIMuM-rESIduAl,PfMCMr)的弦乐器校音新方法。先对音频进行频谱分析,并利用频谱细化算法计算峰值频率,时域中相关局部最大与残差局部最小相结合,确定峰值频率对应的谐波次数,进而计算出基频。实验结果表明,该算法精度可达0.1 Hz或更高,其精度较高,稳定性良好。; The basic issue of tuning stringed instrument is to determine the fundamental frequency of the sound.A novel method of stringed instruments tuning in time- frequency domain, named PFMCMR( Peak- Frequency Maximum- Correlation Minimum- Residual) is presented.Firstly, spectrum zoom algorithm is used to calculate the peak frequency.Secondly, in time domain,local maximum correlation and local minimum residual are combined to determine the harmonic number of peak frequency.Finally,the fundamental frequency is calculated based on peak frequency and corresponding harmonic number.The algorithm accuracy is up to 0.1 Hz or higher.The experimental result show that PFMCMR method is high accuracy and good stability.; 福建省教育厅A类项目(JA13235); 国家自然科学基金项目(61202013)
语种zh_CN
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/123117]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
唐骏,刘虹. 峰值频率大相关-小残差的弦乐器校音方法, Peak-frequency maximum-correlation minimum-residual tuning algorithm[J],2014.
APA 唐骏,&刘虹.(2014).峰值频率大相关-小残差的弦乐器校音方法..
MLA 唐骏,et al."峰值频率大相关-小残差的弦乐器校音方法".(2014).
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