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@@ -57,6 +57,9 @@ for file in files:
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for interval in tier.get_all_intervals():
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if not interval[2]: continue
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+ if interval[2] == "sil" :
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+ continue
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+
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#populates dataframe
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temp_dict = {'speaker_id': tier.name, 'segment_onset': (interval[0]*1000 + audio_onset),
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'segment_offset': (interval[1]*1000 + audio_onset), 'transcription': interval[2]}
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@@ -82,5 +85,5 @@ df = pd.concat([df, orig_df_subset])
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df.sort_values(by='segment_onset', inplace= True)
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#exports to csv
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-df.to_csv("{0}/BN.csv".format(output_path), mode = "x", na_rep= "NA", index= False)
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+df.to_csv("{0}/BN32_010007-aligned.csv.csv".format(output_path), mode = "x", na_rep= "NA", index= False)
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print("----------------SAVED!-----------------")
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