Convert a Praat Intensity tier to a dataframe.

intensity_to_df(file_name)

Arguments

file_name

string with a filename or path to the Intensity tier

Value

a dataframe with columns: time_start, time_end, Intensity

Examples

intensity_to_df(system.file("extdata", "test.Intensity", package = "phonfieldwork"))
#> time_start time_end intensity #> 1 0.000000000 0.000000000 39.30749 #> 2 0.008940764 0.008940764 38.87412 #> 3 0.017881527 0.017881527 38.57424 #> 4 0.026822291 0.026822291 37.93917 #> 5 0.035763054 0.035763054 39.22305 #> 6 0.044703818 0.044703818 40.04061 #> 7 0.053644581 0.053644581 38.85294 #> 8 0.062585345 0.062585345 36.54414 #> 9 0.071526108 0.071526108 40.37141 #> 10 0.080466872 0.080466872 47.55616 #> 11 0.089407635 0.089407635 56.62113 #> 12 0.098348399 0.098348399 60.88946 #> 13 0.107289162 0.107289162 61.37729 #> 14 0.116229926 0.116229926 59.38835 #> 15 0.125170689 0.125170689 56.96737 #> 16 0.134111453 0.134111453 55.55835 #> 17 0.143052216 0.143052216 54.26911 #> 18 0.151992980 0.151992980 52.50135 #> 19 0.160933743 0.160933743 51.27701 #> 20 0.169874507 0.169874507 50.54501 #> 21 0.178815270 0.178815270 50.67041 #> 22 0.187756034 0.187756034 51.64555 #> 23 0.196696797 0.196696797 50.55749 #> 24 0.205637561 0.205637561 50.53060 #> 25 0.214578324 0.214578324 52.51058 #> 26 0.223519088 0.223519088 54.85600 #> 27 0.232459852 0.232459852 61.17698 #> 28 0.241400615 0.241400615 65.93068 #> 29 0.250341379 0.250341379 68.14527 #> 30 0.259282142 0.259282142 68.94030 #> 31 0.268222906 0.268222906 69.47599 #> 32 0.277163669 0.277163669 69.66139 #> 33 0.286104433 0.286104433 69.35156 #> 34 0.295045196 0.295045196 69.12312 #> 35 0.303985960 0.303985960 69.41106 #> 36 0.312926723 0.312926723 69.74102 #> 37 0.321867487 0.321867487 69.52651 #> 38 0.330808250 0.330808250 68.86931 #> 39 0.339749014 0.339749014 68.23661 #> 40 0.348689777 0.348689777 68.17743 #> 41 0.357630541 0.357630541 67.71186 #> 42 0.366571304 0.366571304 66.70133 #> 43 0.375512068 0.375512068 65.77517 #> 44 0.384452831 0.384452831 65.40704 #> 45 0.393393595 0.393393595 64.84207 #> 46 0.402334358 0.402334358 63.81003 #> 47 0.411275122 0.411275122 63.33876 #> 48 0.420215885 0.420215885 62.76678 #> 49 0.429156649 0.429156649 61.62731 #> 50 0.438097412 0.438097412 59.56992 #> 51 0.447038176 0.447038176 58.34945 #> 52 0.455978940 0.455978940 58.61335 #> 53 0.464919703 0.464919703 58.46972 #> 54 0.473860467 0.473860467 58.35225 #> 55 0.482801230 0.482801230 58.60761 #> 56 0.491741994 0.491741994 58.54995 #> 57 0.500682757 0.500682757 58.98097 #> 58 0.509623521 0.509623521 59.06485 #> 59 0.518564284 0.518564284 57.20696 #> 60 0.527505048 0.527505048 56.23815 #> 61 0.536445811 0.536445811 55.88090 #> 62 0.545386575 0.545386575 53.39294 #> 63 0.554327338 0.554327338 50.74157 #> 64 0.563268102 0.563268102 51.23953 #> 65 0.572208865 0.572208865 52.11645 #> 66 0.581149629 0.581149629 51.88973 #> 67 0.590090392 0.590090392 51.05982 #> 68 0.599031156 0.599031156 50.36096 #> 69 0.607971919 0.607971919 50.56470 #> 70 0.616912683 0.616912683 51.59961 #> 71 0.625853446 0.625853446 51.62710 #> 72 0.634794210 0.634794210 50.68025 #> 73 0.643734973 0.643734973 49.64369 #> 74 0.652675737 0.652675737 48.73534