71 lines
2.1 KiB
Python
Executable File
71 lines
2.1 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright (c) 2017 Mycroft AI Inc.
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import wave
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from subprocess import check_output, PIPE
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from prettyparse import create_parser
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from precise.pocketsphinx_listener import PocketsphinxListener
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from precise.scripts.test import show_stats
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from precise.train_data import TrainData
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usage = '''
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Test a dataset using Pocketsphinx
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:key_phrase str
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Key phrase composed of words from dictionary
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:dict_file str
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Filename of dictionary with word pronunciations
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:hmm_folder str
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Folder containing hidden markov model
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:-th --threshold str 1e-90
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Threshold for activations
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:-t --use-train
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Evaluate training data instead of test data
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:-nf --no-filenames
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Don't show the names of files that failed
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...
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'''
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def eval_file(filename) -> float:
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transcription = check_output(['pocketsphinx_continuous', '-kws_threshold', '1e-20', '-keyphrase', 'hey my craft', '-infile', filename], stderr=PIPE)
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return float(bool(transcription) and not transcription.isspace())
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def main():
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args = TrainData.parse_args(create_parser(usage))
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data = TrainData.from_both(args.db_file, args.db_folder, args.data_dir)
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print('Data:', data)
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listener = PocketsphinxListener(args.key_phrase, args.dict_file, args.hmm_folder, args.threshold)
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def run_test(filenames, name):
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print()
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print('===', name, '===')
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negatives, positives = [], []
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for filename in filenames:
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with wave.open(filename) as wf:
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frames = wf.readframes(wf.getnframes())
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out = listener.found_wake_word(frames)
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{False: negatives, True: positives}[out].append(filename)
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print('!' if out else '.', end='', flush=True)
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print()
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return negatives, positives
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data_files = data.train_files if args.use_train else data.test_files
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false_neg, true_pos = run_test(data_files[0], 'Keyword')
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true_neg, false_pos = run_test(data_files[1], 'Not Keyword')
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show_stats(false_pos, false_neg, true_pos, true_neg, not args.no_filenames)
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if __name__ == '__main__':
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main()
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