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Update audio.py
Making sure related functions have consistent signatures.
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polyglotdb/corpus/audio.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1012,7 +1012,7 @@ def discourse_has_acoustics(self, acoustic_name, discourse):
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return False
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return True
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1015-
def encode_acoustic_statistic(self, acoustic_name, statistic, by_annotation=None, by_speaker=False):
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def encode_acoustic_statistic(self, acoustic_name, statistic, by_annotation=None, by_speaker=True):
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"""
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Computes and saves as type properties summary statistics on a by speaker or by phone basis (or both) for a
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given acoustic measure.
@@ -1024,7 +1024,7 @@ def encode_acoustic_statistic(self, acoustic_name, statistic, by_annotation=None
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Name of the acoustic type
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statistic : str
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One of `mean`, `median`, `stddev`, `sum`, `mode`, `count`
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by_speaker : bool, defaults to False
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by_speaker : bool, defaults to True
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Flag for calculating summary statistic by speaker
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by_annotation : str, defaults to None
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One of annotation types to calculate summary statistic over
@@ -1316,7 +1316,7 @@ def reset_relativized_acoustic_measure(self, acoustic_name):
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self.hierarchy.remove_acoustic_properties(self, acoustic_name, to_remove)
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self.encode_hierarchy()
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1319-
def relativize_acoustic_measure(self, acoustic_name, by_speaker=True, by_annotation=None):
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def relativize_acoustic_measure(self, acoustic_name, by_annotation=None, by_speaker=True):
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"""
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Relativize acoustic tracks by taking the z-score of the points (using by speaker or by annotation means and standard
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deviations, or both by-speaker, by annotation) and save them as separate measures, i.e., F0_relativized from F0.

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