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