35 lines
992 B
Python
35 lines
992 B
Python
import tempfile
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from opendbm.api_lib.model import OPENDBM_DATA, AudioModel
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from opendbm.dbm_lib import run_speech_feature
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class SpeechFeature(AudioModel):
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def __init__(self):
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super().__init__()
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self._params = [
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"nlp_numSentences",
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"nlp_singPronPerAns",
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"nlp_singPronPerSen",
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"nlp_pastTensePerAns",
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"nlp_pastTensePerSen",
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"nlp_pronounsPerAns",
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"nlp_pronounsPerSen",
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"nlp_verbsPerAns",
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"nlp_verbsPerSen",
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"nlp_adjectivesPerAns",
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"nlp_adjectivesPerSen",
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"nlp_nounsPerAns",
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"nlp_nounsPerSen",
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"nlp_sentiment_mean",
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"nlp_mattr",
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"nlp_wordsPerMin",
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"nlp_totalTime",
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]
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@AudioModel.prep_func
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def _fit_transform(self, path):
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return run_speech_feature(
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path, f"{tempfile.gettempdir()}/", self.r_config, OPENDBM_DATA, save=False
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)
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