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@@ -1,37 +0,0 @@
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-import pandas as pd
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-import pympi.Praat as pr
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-
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-#open csv as pandas dataframe
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-df = pd.read_csv(r"C:\Users\Martin\Desktop\LAAC\alignment-project\inputs\testCHA.csv")
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-
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-#create textgrid
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-grid = pr.TextGrid(xmax = 300)
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-
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-#specify number of rows
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-rows = 9000
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-
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-#iterate through each row
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-for i in range(rows):
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-
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- #load data from dataframe
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- speaker = df.iloc[i, 0]
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- transcription = df.iloc[i, 3]
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-
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- #loads onset and offset and converts from milliseconds to seconds
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- onset = df.iloc[i,5]/1000
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- offset = df.iloc[i, 1]/1000
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-
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- #checks if tier already exists. If not, create a new tier
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- try:
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- aTier = grid.get_tier(speaker)
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- except IndexError:
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- aTier = grid.add_tier(speaker)
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-
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- #creates interval and adds it to the tier
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- pr.Tier.add_interval(aTier, onset, offset, transcription, False)
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-
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-
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-print(list(pr.TextGrid.get_tier_name_num(grid)))
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-
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-grid.to_file(r"C:\Users\Martin\Desktop\LAAC\alignment-project\outputs\converterTest.txt")
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-
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Apfelsaft