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  /external/tensorflow/tensorflow/examples/speech_commands/
freeze_test.py 34 clip_duration_ms=1000.0,
54 clip_duration_ms=1000.0,
74 clip_duration_ms=1000.0,
92 clip_duration_ms=1000.0,
wav_to_features.py 47 def wav_to_features(sample_rate, clip_duration_ms, window_size_ms,
54 clip_duration_ms: Expected duration in milliseconds of the wavs.
68 0, sample_rate, clip_duration_ms, window_size_ms, window_stride_ms,
84 f.write(' * --clip_duration_ms=%d \\\n' % clip_duration_ms)
128 wav_to_features(FLAGS.sample_rate, FLAGS.clip_duration_ms,
143 '--clip_duration_ms',
generate_streaming_test_wav.py 89 len(words_list), FLAGS.sample_rate, FLAGS.clip_duration_ms,
103 FLAGS.clip_duration_ms + background_crossover_ms)
107 (FLAGS.clip_duration_ms * FLAGS.sample_rate) / 1000)
128 word_stride_ms = FLAGS.clip_duration_ms + FLAGS.word_gap_ms
131 (FLAGS.clip_duration_ms * FLAGS.sample_rate) / 1000)
231 '--clip_duration_ms',
models_test.py 34 clip_duration_ms=1000,
45 clip_duration_ms=1000,
freeze.py 23 --window_stride_ms=10 --clip_duration_ms=1000 \
63 def create_inference_graph(wanted_words, sample_rate, clip_duration_ms,
74 clip_duration_ms: How many samples to analyze for the audio pattern.
89 len(words_list), sample_rate, clip_duration_ms, window_size_ms,
161 FLAGS.wanted_words, FLAGS.sample_rate, FLAGS.clip_duration_ms,
187 '--clip_duration_ms',
test_streaming_accuracy.cc 61 --clip_duration_ms=1000 --detection_threshold=0.70 --average_window_ms=500 \
141 int32 clip_duration_ms = 1000; local
160 Flag("clip_duration_ms", &clip_duration_ms,
233 const int64 clip_duration_samples = (clip_duration_ms * sample_rate) / 1000;
models.py 39 def prepare_model_settings(label_count, sample_rate, clip_duration_ms,
47 clip_duration_ms: Length of each audio clip to be analyzed.
59 desired_samples = int(sample_rate * clip_duration_ms / 1000)
train.py 100 FLAGS.sample_rate, FLAGS.clip_duration_ms, FLAGS.window_size_ms,
365 '--clip_duration_ms',

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