18 lines
552 B
Python
18 lines
552 B
Python
import logging
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from audiopreprocessing import triggerlog
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#logger = logging.getLogger(__name__)
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logging.basicConfig(format="%(asctime)s/%(levelname)s: [%(module)s] %(message)s", level=logging.INFO)
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from dataset_files import MultiThreadedAudioFeatureExtractor, random_audio_chunk
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mtafe = MultiThreadedAudioFeatureExtractor(
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audio_paths=random_audio_chunk(8),
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max_audio_in_queue=8,
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audio_feeder_threads=8,
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feature_extractor_threads=1,
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desired_sr=32000,
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force_mono=False,
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chunk_length=15,
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chunk_overlap=2
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)
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mtafe.extract()
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