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@@ -0,0 +1,28 @@
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+import pympi.Praat as pr
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+import pandas as pd
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+from pathlib import Path
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+
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+input_dir = "outputs/mfa_align_output"
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+output_path = "outputs/grid2csv_output"
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+
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+#selects TextGrid files only
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+files = Path(input_dir).glob('*.TextGrid')
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+
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+#Loop through each textgrid file of the folder
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+for file in files:
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+ #open textgrid file
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+ print(file)
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+ grid = pr.TextGrid(file)
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+ #initialize header
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+ df = pd.DataFrame(columns= ["speaker_id","segment_offset","mwu_type","transcription","speaker_type",
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+ "segment_onset","vcm_type","addresseee","raw_filename","ling_type","lex_type"])
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+
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+ #loop through all tiers, might want to loop through each textgrid
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+ for tier in grid.get_tiers():
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+ for interval in tier.get_all_intervals():
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+ df = df.append(pd.Series({'speaker_id': tier.name, 'segment_onset': interval[0]*1000,
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+ 'segment_offset': interval[1]*1000, 'transcription': interval[2]}), ignore_index= True)
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+
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+ #exports to csv
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+ df.to_csv("{0}/{1}.csv".format(output_path, file.stem), mode = "x", na_rep= "NA", index= False)
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+ print("----------------SAVED!-----------------")
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Apfelsaft