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script.R
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script.R
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# special symbols in file names break script... fix?
# make functions more flexible
rm(list = ls())
# where you want to output the file
setwd("C:/Users/Lauren Shin/Desktop")
# loading PraatR
library(PraatR)
# what you want the file name to be
# it will write to the working directory
output_file = "vowels.csv"
# labels of intervals to examine
vowels = c("a", "e", "i", "o", "u", # monophthongs
"ua", "ao", "au", "ai", "ae", "ei", "ea", # observed diphthongs
"ia", "oa", "oe", "ui", "iu", "ie", "ia",
"eo", "eu", "io", "oe", "ou", "ue", "uo") # unobserved diphthongs
# format: list(time step, pitch floor, pitch ceiling)
# generally, use
# list(0, 75, 300)
# for male speakers, and
# list(0, 100, 600)
# for female speakers
pitch_range = list(0, 75, 300)
# folder where text grids are
# make sure to include ending slash!
grid_path = "C:/praatR/data/grids"
# folder where wav files are
wav_path = "C:/praatR/data/wavs/"
# temporary file locations for formants, intensities, and pitches
# create the temp folder yourself, or change the directory to somewhere that isn't the grid or wav path
formant_path = "C:/praatR/data/temp/formant.Matrix"
intensity_path = "C:/praatR/data/temp/intensity.Matrix"
pitch_path = "C:/praatR/data/temp/pitch.Matrix"
# create list of all files in directory
# textgrids
grid_list = tolower(list.files(grid_path))
# and wavs
wav_list = tolower(list.files(wav_path))
############ useful functions ##################################################
# when passed a path of a text grid
# returns label, start and stop time, as well as adjacent labels of each interval
# in a list of vectors
# each entry in the list is a vector containing
# label, start time, end time, before label, after label -- in that order
# only if the interval had a label that matched the contents of the vowel list
get_start_end <- function(grid_loc)
{
# stores the total number of intervals in the text grid
interval_numbers = as.numeric( # converst string output to a number
praat("Get number of intervals...", # praat command
list(1), # 1 = the number of the tier to look at
input = grid_loc, # path of text grid
simplify = TRUE)) # return only number (still a string)
# empty, to be filled and returned later
return_list <- vector("list")
# cycles through each interval in the text grid
# starting with the second, as the first should be #
for (interval in c(2:interval_numbers))
{
# gets the label of the interval
interval_label = praat("Get label of interval...", # praat command
list(1, interval), # tier and interval to look at
input = grid_loc)
# if it's a vowel -- get adjacent interval labels
# if not, go to next interval
if(interval_label %in% vowels)
{
# gets the preceding adjacent label
before_label = praat("Get label of interval...", # praat command
list(1, interval - 1), # tier and interval to look at
input = grid_loc)
# gets the following adjacent label
after_label = praat("Get label of interval...", # praat command
list(1, interval + 1), # tier and interval to look at
input = grid_loc)
# finds the start point
# similar to how Get label of interval... works
interval_start = as.numeric(praat("Get start point...",
list(1, interval),
input = grid_loc,
simplify = TRUE))
# and the end point
# similar to how Get label of interval... works
interval_end = as.numeric(praat("Get end point...",
list(1, interval),
input = grid_loc,
simplify = TRUE))
# increments position of where to add the list of label/points
index = length(return_list) + 1
# temporary vector to add to list
to_add_temp = c(interval_start, interval_end,
before_label, interval_label, after_label)
# names(to_add_temp) = c("label", "start", "end", "before", "after")
# adds the temporary vector to return_list at correct index
return_list[[index]] = to_add_temp
}
}
return (return_list)
}
# extracts means of f1 through f4
# formant_loc is the full path of the formant file, ie formant_path
# fmean_interval is the start and end point of the interval
# (usually [2] and [3] from get_start_end)
# returns a vector of numbers
formant_means <- function(fmean_interval, formant_loc)
{
# list to return later
means = c()
# formants to look at
# can be changed if desired
formants_nums = c(1,2,3,4)
# empty, to return later
fmeans = c()
# cycles through each interval in the intervals list
for (formant_number in formants_nums)
{
# gets start point, which should second entry in list
start = fmean_interval[1]
# gets end point, should be third entry in list
end = fmean_interval[2]
mean = as.numeric(praat("Get mean...",
list(formant_number, # number of formant to look at
start, # start point in time of formant
end, # end point in time of formant
"Hertz"), # measurement type
input = formant_loc,
simplify = TRUE))
fmeans = append(fmeans, mean)
}
# can name the outputs, not necessary though
# names(fmeans) = c("F1", "F2", "F3", "F4")
return (fmeans)
}
# quartile and median calculation for amplitude
# amp_interval is a list of the start and end point of the interval to examine
# intensity_loc is the full path of the intensity file, ie intensity_path
quart_med_amp <- function(amp_interval, intensity_loc)
{
# divide up desired length by 9 pieces
# can divide into however many pieces desired (probably 9 +)
# use interval_split() to create 9 points to sample
# and put in list for loop to iterate through
point_list = interval_split(amp_interval, 9)
# empty, to be filled with loop
data_points = c()
# loop to fill data_list
for (point in point_list)
{
data_points = append(data_points,
as.numeric(praat("Get value at time...",
input = intensity_loc,
list(point,
"Cubic"),
simplify = TRUE)))
}
# sort by value
sort(data_points)
# find median for list
median = median(data_points, na.rm = TRUE)
# find quartile for list
# returns 4 values -- 2nd and 4th entries are 1st and 3rd quartile respectively
quantiles = quantile(data_points, na.rm = TRUE)
# adds to list, and labels entries
return_vals = c(median, quantiles[2], quantiles[4])
# names(return_vals) = c("amp median", "amp 1st", "amp 3rd")
return (return_vals)
}
# quartile and median calculation for f0
# f0_interval is a list of the start and end point of the interval to examine
# f0_loc is the full path of the pitch file, ie pitch_path
quart_med_F0 <- function(f0_interval, f0_loc)
{
# accounting for Praat's sampling of f0 (75 pitch floor Hz = 40 ms sample)
# see http://www.fon.hum.uva.nl/praat/manual/Sound__To_Pitch___.html Pitch floor section
new_interval = c(f0_interval[1] + .04, f0_interval[2])
# divide up desired length by 9 pieces
point_list = interval_split(new_interval, 9)
# empty, to be filled with loop
data_points = c()
# loop to fill data_list
for (point in point_list)
{
new_num = as.numeric(praat("Get value at time...",
input = f0_loc,
list(point,
"Hertz",
"Linear"),
simplify = TRUE))
data_points = append(data_points, new_num)
}
# sort by value
sort(data_points)
# find median for list
median = median(data_points, na.rm = TRUE)
# find quartile for list
# returns 4 numbers -- 2nd and 4th entries are 1st and 3rd quartile respectively
quantiles = quantile(data_points, na.rm = TRUE)
# adds to list
return_vals = c(median, quantiles[2], quantiles[4])
# names(return_vals) = c("f0 median", "f0 1st", "f0 3rd")
return (return_vals)
}
# returns max F0 value of interval passed
# f0_interval is a list of the start and end point of the interval to examine
# f0_loc is the full path of the pitch file, ie pitch_path
max_F0 <- function(f0_interval, f0_loc)
{
start = f0_interval[1]
end = f0_interval[2]
# calculates max f0
val = as.numeric(praat("Get maximum...",
list(start, end, "Hertz", "Parabolic"),
input = f0_loc,
simplify = TRUE))
return (val)
}
# returns max intensity of interval passed
# amp_interval is a list of the start and end point of the interval to examine
# intensity_loc is the full path of the intensity file, ie intensity_path
max_amp <- function(amp_interval, intensity_loc)
{
start = amp_interval[1]
end = amp_interval[2]
# calculates max intensity
val = as.numeric(praat("Get maximum...",
list(start, end, "Parabolic"),
input = intensity_loc,
simplify = TRUE))
return (val)
}
# returns mean f0 of interval passed
# f0_times is a list of the start and end point of the interval to examine
# f0_loc is the full path of the pitch file, ie pitch_path
mean_F0 <- function(f0_interval, f0_loc)
{
start = f0_interval[1]
end = f0_interval[2]
# calculates mean of f0
mean = as.numeric(praat("Get mean...",
list(start, end, "Hertz"),
input = f0_loc,
simplify = TRUE))
return (mean)
}
# returns mean intensity of interval passed
# amp_times is a list of the start and end point of the interval to examine
# intensity_loc is the full path of the intensity file, ie intensity_path
mean_amp <- function(amp_interval, amp_loc)
{
start = amp_interval[1]
end = amp_interval[2]
# calculates mean amplitude/intensity
mean = as.numeric(praat("Get mean...",
list(start, end, "energy"),
input = amp_loc,
simplify = TRUE))
return (mean)
}
# returns a list of samples of f1 through f3
# f_interval is a list of the start and end point of the interval to look at
# num_samples is the number of samples to take for the formants
# formant_loc is the full path of the formant file, ie formant_path
f_sample <- function(f_interval, num_samples, formant_loc)
{
# splits interval into desired number of sample points
split = interval_split(c(f_interval[1], f_interval[2]), num_samples)
f1 = c()
f2 = c()
f3 = c()
for (point in split)
{
# record the f1 value at point
f1_val = as.numeric(praat("Get value at time...",
list(1, point, "Hertz", "Linear"),
input = formant_loc,
simplify = TRUE))
# record the f2 value at point
f2_val = as.numeric(praat("Get value at time...",
list(2, point, "Hertz", "Linear"),
input = formant_loc,
simplify = TRUE))
# record the f3 value at point
f3_val = as.numeric(praat("Get value at time...",
list(3, point, "Hertz", "Linear"),
input = formant_loc,
simplify = TRUE))
f1 = append(f1, f1_val)
f2 = append(f2, f2_val)
f3 = append(f3, f3_val)
}
return (c(f1, f2, f3))
}
# returns a list of points in interval passed, split into number_splits points
# ex:
# > interval_split(c(2, 3), 4)
# > c(2, 2.33, 2.66, 3)
# interval is the interval to be split, ie a list of two points in time
interval_split <- function(interval, number_splits)
{
# 0 splits = same interval as passed...
if (number_splits == 0)
{
return (interval)
}
# first and last point returned should be passed points
# check that second point passed is bigger than the first, ie no negative time
if (interval[1] < interval[2])
{
# empty, filled by loop
return_vals = c(interval[1])
# finds value to increment by
# total time divided by number of splits wanted minus one,
# to get last value in array
increment = (interval[2] - interval[1])/(number_splits - 1)
# first time to add to loop
time = interval[1] + increment
for (point in c(1: (number_splits - 1)))
{
return_vals = append(return_vals, time)
time = time + increment
}
return (return_vals)
}
}
#################################################################
# pulling everything together
# vectors to add data to in nested loop, to add to dataframe as columns later
word = c()
label = c()
beforeLabel = c()
afterLabel = c()
meanF1 = c()
meanF2 = c()
meanF3 = c()
meanF4 = c()
F1.1 = c()
F1.2 = c()
F1.3 = c()
F1.4 = c()
F1.5 = c()
F1.6 = c()
F1.7 = c()
F1.8 = c()
F1.9 = c()
F1.10 = c()
F1.11 = c()
F2.1 = c()
F2.2 = c()
F2.3 = c()
F2.4 = c()
F2.5 = c()
F2.6 = c()
F2.7 = c()
F2.8 = c()
F2.9 = c()
F2.10 = c()
F2.11 = c()
F3.1 = c()
F3.2 = c()
F3.3 = c()
F3.4 = c()
F3.5 = c()
F3.6 = c()
F3.7 = c()
F3.8 = c()
F3.9 = c()
F3.10 = c()
F3.11 = c()
medianAmplitude = c()
firstQuartileAmplitude = c()
thirdQuartileAmplitude = c()
medianF0 = c()
firstQuartileF0 = c()
thirdQuartileF0 = c()
length = c()
maxF0 = c()
maxAmplitude = c()
meanF0 = c()
meanAmplitude = c()
# prints start time of analysis just to see when script started running
print(Sys.time())
# iterate through each text grid in directory
# can subset grid_list for testing changes, ie grid_list[1:5]
for (file in grid_list)
{
# gets file name minus .TextGrid
fileName = sub('\\.textgrid$', '', file)
# if there's a matching wav file to look at
if (paste(fileName, ".wav", sep = "") %in% wav_list)
{
# prints file name just to check progress, can comment or delete
print(fileName)
# create full path for text grid file
# ex "C:/praatR/Bitur/grids/ + awaga-DM-3.TextGrid"
temp_grid = paste(grid_path, file, sep = "")
# create full path for wav file
# ex "C:/praatR/Bitur/audio/ + awaga-DM-3.TextGrid - .TextGrid + wav
temp_wav = paste(wav_path,
fileName,
".wav",
sep = "")
# getting start/end times of intervals in the file
intervals = get_start_end(temp_grid)
# create temporary formant object
formant_obj = praat("To Formant (keep all)...",
list(0, # time step
5, # max num formants
5500, # max formant hz
0.025, # window length
50), # pre-emphasis hz
input = temp_wav,
overwrite = TRUE,
output = formant_path)
# create temporary intensity object
intensity = praat("To Intensity...",
list(100, # minumum pitch
0, # time step (0 auto)
"yes"), # subtract mean
input = temp_wav,
overwrite = TRUE,
output = intensity_path)
# create temporary pitch object
pitch_obj = praat("To Pitch...",
pitch_range, # pitch range, set at top of this file
input = temp_wav,
overwrite = TRUE,
output = pitch_path)
# cycle through each valid (ie labeled with vowel(s)) interval in file
for (interval in intervals)
{
# append word name to proper vector
word = append(word, fileName)
# create proper interval to pass to other functions
start = as.numeric(interval[1])
end = as.numeric(interval[2])
interval_list = c(start, end)
# append interval labels to proper vector
label = append(label, interval[4])
beforeLabel = append(beforeLabel, interval[3])
afterLabel = append(afterLabel, interval[5])
# append length to proper vector
lengthInt = end - start
length = append(length, lengthInt)
# calculate and append f1 through f4 means to proper vectors
f_means = formant_means(interval_list, formant_path)
meanF1 = append(meanF1, f_means[1])
meanF2 = append(meanF2, f_means[2])
meanF3 = append(meanF3, f_means[3])
meanF4 = append(meanF4, f_means[4])
# calculate and append f1 through f3 sampled points to proper vectors
f_pts = f_sample(interval_list, 11, formant_path)
F1.1 = append(F1.1, f_pts[1])
F1.2 = append(F1.2, f_pts[2])
F1.3 = append(F1.3, f_pts[3])
F1.4 = append(F1.4, f_pts[4])
F1.5 = append(F1.5, f_pts[5])
F1.6 = append(F1.6, f_pts[6])
F1.7 = append(F1.7, f_pts[7])
F1.8 = append(F1.8, f_pts[8])
F1.9 = append(F1.9, f_pts[9])
F1.10 = append(F1.10, f_pts[10])
F1.11 = append(F1.11, f_pts[11])
F2.1 = append(F2.1, f_pts[12])
F2.2 = append(F2.2, f_pts[13])
F2.3 = append(F2.3, f_pts[14])
F2.4 = append(F2.4, f_pts[15])
F2.5 = append(F2.5, f_pts[16])
F2.6 = append(F2.6, f_pts[17])
F2.7 = append(F2.7, f_pts[18])
F2.8 = append(F2.8, f_pts[19])
F2.9 = append(F2.9, f_pts[20])
F2.10 = append(F2.10, f_pts[21])
F2.11 = append(F2.11, f_pts[22])
F3.1 = append(F3.1, f_pts[23])
F3.2 = append(F3.2, f_pts[24])
F3.3 = append(F3.3, f_pts[25])
F3.4 = append(F3.4, f_pts[26])
F3.5 = append(F3.5, f_pts[27])
F3.6 = append(F3.6, f_pts[28])
F3.7 = append(F3.7, f_pts[29])
F3.8 = append(F3.8, f_pts[30])
F3.9 = append(F3.9, f_pts[31])
F3.10 = append(F3.10, f_pts[32])
F3.11 = append(F3.11, f_pts[33])
# calculate and append median, and quartiles of amplitude to proper vector
qma_amp = quart_med_amp(interval_list, intensity_path)
medianAmplitude = append(medianAmplitude, qma_amp[1])
firstQuartileAmplitude = append(firstQuartileAmplitude, qma_amp[2])
thirdQuartileAmplitude = append(thirdQuartileAmplitude, qma_amp[3])
# calculate and append median, and quartiles of f0 to proper vector
qma_f0 = quart_med_F0(interval_list, pitch_path)
medianF0 = append(medianF0, qma_f0[1])
firstQuartileF0 = append(firstQuartileF0, qma_f0[2])
thirdQuartileF0 = append(thirdQuartileF0, qma_f0[3])
# calculate and append max f0 to proper vector
f0_max = max_F0(interval_list, pitch_path)
maxF0 = append(maxF0, f0_max)
# calculate and append max amplitude to proper vector
amp_max = max_amp(interval_list, intensity_path)
maxAmplitude = append(maxAmplitude, amp_max)
# calculate and append mean f0 to proper vector
f0_mean = mean_F0(interval_list, pitch_path)
meanF0 = append(meanF0, f0_mean)
# calculate and append mean amplitude to proper vector
amp_mean = mean_amp(interval_list, intensity_path)
meanAmplitude = append(meanAmplitude, amp_mean)
}
}
else
{
# should only print if textgrid is missing wav file counterpart
# if wav files are missing textgrid counterparts, no message will print...
print(paste("corresponding wav file not found:", fileName))
}
}
# dataframe -- each column is a vector created in previous loop
data = data.frame(word, label, beforeLabel, afterLabel, length,
meanF1, meanF2, meanF3, meanF4,
medianAmplitude, firstQuartileAmplitude, thirdQuartileAmplitude,
medianF0, firstQuartileF0, thirdQuartileF0,
maxF0, maxAmplitude,
meanF0, meanAmplitude,
F1.1, F1.2, F1.3, F1.4, F1.5, F1.6, F1.7, F1.8, F1.9, F1.10, F1.11,
F2.1, F2.2, F2.3, F2.4, F2.5, F2.6, F2.7, F2.8, F2.9, F2.10, F2.11,
F3.1, F3.2, F3.3, F3.4, F3.5, F3.6, F3.7, F3.8, F3.9, F3.10, F3.11)
# writes dataframe as csv to working directory
write.table(data, sep = ",", row.names = FALSE, file = output_file)