找回密码
 注册
查看: 486|回复: 0

R语言 tuneR包 FF()函数中文帮助文档(中英文对照)

[复制链接]
发表于 2012-10-1 13:00:55 | 显示全部楼层 |阅读模式
FF(tuneR)
FF()所属R语言包:tuneR

                                        Estimation of Fundamental Frequencies from a Wspec object
                                         的基本频率从Wspec对象的估计

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Estimation of Fundamental Frequencies from an object of class Wspec. Additionally, some heuristics are used to distinguish silence, noise (and breathing for singers)
类Wspec对象的基音估算。此外,一些启发式用来区分歌手沉默,噪声(呼吸)


用法----------Usage----------


FF(object, peakheight = 0.01, silence = 0.2, minpeak = 9, diapason = 440,
    notes = NULL, interest.frqs = seq(along = object@freq),
    search.par = c(0.8, 10, 1.3, 1.7))
   
FFpure(object, peakheight = 0.01, diapason = 440,
    notes = NULL, interest.frqs = seq(along = object@freq),
    search.par = c(0.8, 10, 1.3, 1.7))



参数----------Arguments----------

参数:object
An object of class Wspec.
对象的类Wspec。


参数:peakheight
The peak's proportion of the maximal peak height to be  considered for fundamental frequency detection. The default (0.01) means peaks smaller than 0.02 times the maximal peak height are omitted.
山顶的比例要考虑的最大峰值高度的基频检测。意味着省略峰小于最大峰值高度的0.02倍的默认值(0.01)。


参数:silence
The maximum proportion of periodograms to be considered as silence or noise (such as breathing). The default (0.2) means that less than 20 out of 100 periodograms represent silence or noise.
被视为最高比例的周期图无声或噪声(如呼吸)。默认值(0.2),只有不到20 100周期图表示沉默或噪音。


参数:minpeak
If more than minpeak peaks are considered for detection and passed argument peakheight, such periodograms are detected to be silence or noise (if silence > 0).
如果多minpeak峰被认为是检测和传递的参数peakheight,这样的周期图检测到无声或噪声(如果silence > 0)。


参数:diapason
Frequency of diapason a, default is 440 (Hertz).
和谐一个频率,默认值是440(赫兹)。


参数:notes
Optional, a vector of integers indicating the notes (in halftones from diapason a) that are expected. By applying this restriction, the “detection error” might be reduced in some cases.
可选的向量整数说明的注意事项(和谐一个半色调),预期。通过施加这种限制,“检测错误”,在某些情况下,可能会降低。


参数:interest.frqs
Optional, either a vector of integers indicating the  indices of (fundamental) frequencies in object that are expected, or one of the character strings "bass", "tenor", "alto" or "soprano". For these voice types, only typical frequency ranges are considered for detection.
可选的,无论是矢量的整数,表示指数(基波)频率object预期,或一个字符串的"bass","tenor","alto"或 "soprano"。对于这些声音类型,被认为是典型的频率范围进行检测。

By applying this restriction, the “detection error” might be reduced in some cases.
通过施加这种限制,“检测错误”,在某些情况下,可能会降低。


参数:search.par
Parameters to look for peaks:  <ol> The first peak larger than peakheight * 'largest_peak' is taken.
寻找峰的参数:<OL>的第一个高峰大于peakheight * 'largest_peak'。

Its frequency is multiplied by 1+search.par[1] Now, any larger peak between the old peak and that value is taken, if (a) it exists and if (b) it is above the search.par[2]-th Fourier-Frequency.
它的频率乘以1+search.par[1]现在,任何较大的峰值岁之间的峰值,该值,如果(a)它的存在,如果(B)它上面的search.par[2]个傅立叶频率。

Within the interval of frequencies 'current peak' * search.par[3:4], another high peak is looked for. If any high peak exists in that interval,  it can be assumed we got the wrong partial and the "real" fundamental frequency can be re-estimated  from the next two partials.</ol>
的时间间隔内的频率'current peak' * search.par[3:4],另一个高峰寻找。如果存在任何高峰,在该时间间隔中,可以假设,我们得到了错误的部分的“真实”的基本频率可以重新估计从接下来的两个泛音。</醇>


Details

详细信息----------Details----------

FFpure just estimates the fundamental frequencies for all periodograms contained in the  object (of class Wspec.
FFpure只是估计包含的在object(类Wspec中的所有周期图的基本频率。

FF additionally uses some heuristics to distinguish silence, noise (and breathing for singers)  from real tones. It is recommended to use the wrapper function FF rather than FFpure. If silence detecion can be omitted by specifying silence = 0.
FF另外还使用了一些启发式算法来区分真正的色调沉默,噪声(歌手)和呼吸。这是推荐使用的包装函数FF而不是FFpure。如果沉默检测中可以省略由指定silence = 0。


值----------Value----------

Vector of estimated fundamental frequencies (in Hertz) for each periodogram conatined in object.
向量的估计基本频率(赫兹)为每个周期图conatined在object。


注意----------Note----------

These functions are still in development and may be changed in due course.
这些功能仍在开发中,并在适当的时候可以改变。


(作者)----------Author(s)----------


Uwe Ligges, <a href="mailto:ligges@statistik.tu-dortmund.de">ligges@statistik.tu-dortmund.de</a>



参见----------See Also----------

Wspec, periodogram (including an example), noteFromFF,
Wspec,periodogram(包括一个例子),noteFromFF,

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
注3:如遇到不准确之处,请在本贴的后面进行回帖,我们会逐渐进行修订。
回复

使用道具 举报

您需要登录后才可以回帖 登录 | 注册

本版积分规则

手机版|小黑屋|生物统计家园 网站价格

GMT+8, 2024-11-28 22:40 , Processed in 0.047312 second(s), 15 queries .

Powered by Discuz! X3.5

© 2001-2024 Discuz! Team.

快速回复 返回顶部 返回列表