norm.wattfabricius(vowels)
norm.wattfabricius()所属R语言包:vowels
Normalize Vowels with the Watt & Fabricius Method
瓦特法氏囊方法标准化元音
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Normalizes acoustic vowel formant data using the Watt \& Fabricius Method.
规范化声元音的共振峰数据使用的瓦特\&法氏囊方法。
用法----------Usage----------
norm.wattfabricius(vowels, norm.means=FALSE, mod.WF=FALSE)
参数----------Arguments----------
参数:vowels
a required dataframe of the format: speaker_id, vowel_id, context, F1, F2, F3, F1_glide, F2_glide, F3_glide. The context column and glide columns must exist but can be empty.
所需的数据框的格式为:speaker_id,vowel_id,上下文,F1,F2,F3,F1_glide,F2_glide,F3_glide。上下文列和滑行列必须存在,但是可以为空。
参数:norm.means
if TRUE, the method returns only the normalized mean values for the vowels and not the individual tokens. Default is FALSE.
如果为TRUE,则该方法返回的归一化平均值为元音,而不是单独的标记。默认值是false。
参数:mod.WF
if TRUE, the method implements a modified version of the Watt & Fabricius algorithm (after Fabricius, Watt, and Johnson 2009) whereby the F2 value for the bottom lower corner of the vowel triangle is computed from the midpoint between the F2 values for the top two corners instead of the mean F2 value of the TRAP vowel class. Default is FALSE.
如果为TRUE,该方法实现了一个修改后的版本,瓦及的法氏囊算法(后法氏囊,瓦,到2009年,约翰逊)之间的中点值F2,F2值计算的元音三角形的底部的右下角前两个弯道,而不是的TRAP元音类的平均F2的值。默认值是false。
Details
详细信息----------Details----------
The Watt & Fabricius method is vowel extrinsic, but unlike Lobanov's, Nearey's, and Labov's methods, the centroid or grand mean value that it uses to calculate normalized values is based on points that represent the corners of the vowel envelope: one for the high front corner, one for the high back corner, and one for the bottom corner. In Watt and Fabricius's original formulation, which was designed for the RP dialect of English, the mean F1 and F2 of the BEET vowel were used as the minimum F1 and maximum F2 values; the minimum F1 value of BEET was also used as the minimum F2 value. The mean F1 and F2 of BAT (which Watt and Fabricius label as TRAP) comprised the point for the bottom corner of the vowel envelope. Watt and Fabricius (2002) provide a clear step-by-step example of their process. In more recent work (Fabricius, Watt, and Johnson 2009), Watt and Fabricius have slightly modified their formula, which is optionally available here through the mod.WF argument.
瓦和法氏囊的方法是元音外在的,但不像洛巴诺夫的,Nearey的,和拉波夫的方法,的质心或盛大的平均价值,它采用归一化值计算是基于点表示元音信封的角落的一个高前角的高背角,和一个底部角落。在瓦特和法氏囊的原配方,这是设计的RP的英语方言的平均F1和F2的甜菜元音被使用的最低F1和最大的F2值;的最低F1值甜菜是也使用的最低F2值。平均F1和F2的BAT(瓦和法氏囊标签TRAP)组成的元音信封的下角点。瓦特和法氏囊(2002)的提供了一个清晰的一步一步的例子,他们的过程。在最近的工作(法氏囊,瓦,到2009年,约翰逊),瓦和法氏囊略作修改他们的公式,这是可选的通过mod.WF参数。
See Thomas and Kendall (2007) for a fuller description of the implementation here.
托马斯和Kendall(2007)较详细地说明实施。
值----------Value----------
A data frame in one of two formats: If norm.means == TRUE: a data frame with speaker_id, vowel_id, vowel_N, F1/S(F1), F2/S(F2), F1g/S(F1g), F2g/S(F2g) with the attribute "mean.values" == TRUE If norm.means == FALSE: a data frame with speaker_id, vowel_id, F1/S(F1), F2/S(F2), F1g/S(F1g), F2g/S(F2g).
一个数据框两种格式之一:如果norm.means == TRUE:一个数据框speaker_id,vowel_id,vowel_N,F1 / S(F1),F2 / S(F2)F1g的/ S(F1g),F2G / S(F2G)与的属性“mean.values”== TRUE如果norm.means == FALSE:与speaker_id,vowel_id,F1 / S(F1),(F2),F2 / S,F1g / S的数据框(F1g ),F2G / S(F2G)。
警告----------Warning ----------
The development of the library and this function are ongoing. The arguments to the function may change in future versions.
该库开发的功能,该功能仍在进行中。在未来的版本中的功能可能会改变的参数。
(作者)----------Author(s)----------
Kendall, Tyler <tsk3@duke.edu>
参考文献----------References----------
Thomas, Erik R. and Tyler Kendall. 2007. NORM: The vowel normalization and plotting suite. [ Online Resource: http://ncslaap.lib.ncsu.edu/tools/norm/ ]
Watt, Dominic and Fabricius, Anne. 2002. Evaluation of a technique for improving the mapping of multiple speakers' vowel spaces in the F1 ~ F2 plane. In D. Nelson, Leeds Working Papers in Linguistics and Phonetics 9:159-73.
参见----------See Also----------
norm.bark, norm.labov, norm.lobanov, norm.nearey
norm.bark,norm.labov,norm.lobanov,norm.nearey
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。
|