115 lines
3.6 KiB
Python
Executable File
115 lines
3.6 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2019 Mycroft AI Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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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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import wave
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from prettyparse import Usage
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from subprocess import check_output, PIPE
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from precise.pocketsphinx.listener import PocketsphinxListener
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from precise.scripts.base_script import BaseScript
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from precise.scripts.test import Stats
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from precise.train_data import TrainData
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class PocketsphinxTestScript(BaseScript):
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usage = Usage(__doc__) | TrainData.usage
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def __init__(self, args):
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super().__init__(args)
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self.listener = PocketsphinxListener(
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args.key_phrase, args.dict_file, args.hmm_folder, args.threshold
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)
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self.outputs = []
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self.targets = []
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self.filenames = []
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def get_stats(self):
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return Stats(self.outputs, self.targets, self.filenames)
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def run(self):
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args = self.args
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data = TrainData.from_both(args.tags_file, args.tags_folder, args.folder)
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print('Data:', data)
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ww_files, nww_files = data.train_files if args.use_train else data.test_files
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self.run_test(ww_files, 'Wake Word', 1.0)
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self.run_test(nww_files, 'Not Wake Word', 0.0)
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stats = self.get_stats()
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if not self.args.no_filenames:
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fp_files = stats.calc_filenames(False, True, 0.5)
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fn_files = stats.calc_filenames(False, False, 0.5)
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print('=== False Positives ===')
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print('\n'.join(fp_files))
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print()
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print('=== False Negatives ===')
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print('\n'.join(fn_files))
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print()
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print(stats.counts_str(0.5))
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print()
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print(stats.summary_str(0.5))
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def eval_file(self, filename) -> float:
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transcription = check_output(
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['pocketsphinx_continuous', '-kws_threshold', '1e-20', '-keyphrase', 'hey my craft',
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'-infile', filename], stderr=PIPE)
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return float(bool(transcription) and not transcription.isspace())
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def run_test(self, test_files, label_name, label):
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print()
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print('===', label_name, '===')
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for test_file in test_files:
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try:
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with wave.open(test_file) as wf:
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frames = wf.readframes(wf.getnframes())
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except (OSError, EOFError):
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print('?', end='', flush=True)
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continue
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out = int(self.listener.found_wake_word(frames))
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self.outputs.append(out)
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self.targets.append(label)
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self.filenames.append(test_file)
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print('!' if out else '.', end='', flush=True)
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print()
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main = PocketsphinxTestScript.run_main
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if __name__ == '__main__':
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main()
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