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Fix large cpu consumption in snowboy detect #395

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Apr 3, 2019
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Fix large cpu consumption in snowboy detect #395

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21 changes: 14 additions & 7 deletions speech_recognition/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -589,10 +589,15 @@ def snowboy_wait_for_hot_word(self, snowboy_location, snowboy_hot_word_files, so
seconds_per_buffer = float(source.CHUNK) / source.SAMPLE_RATE
resampling_state = None

# buffers capable of holding 5 seconds of original and resampled audio
# buffers capable of holding 5 seconds of original audio
five_seconds_buffer_count = int(math.ceil(5 / seconds_per_buffer))
# buffers capable of holding 0.5 seconds of resampled audio
half_second_buffer_count = int(math.ceil(0.5 / seconds_per_buffer))
frames = collections.deque(maxlen=five_seconds_buffer_count)
resampled_frames = collections.deque(maxlen=five_seconds_buffer_count)
resampled_frames = collections.deque(maxlen=half_second_buffer_count)
# snowboy check interval
check_interval = 0.05
last_check = time.time()
while True:
elapsed_time += seconds_per_buffer
if timeout and elapsed_time > timeout:
Expand All @@ -605,11 +610,13 @@ def snowboy_wait_for_hot_word(self, snowboy_location, snowboy_hot_word_files, so
# resample audio to the required sample rate
resampled_buffer, resampling_state = audioop.ratecv(buffer, source.SAMPLE_WIDTH, 1, source.SAMPLE_RATE, snowboy_sample_rate, resampling_state)
resampled_frames.append(resampled_buffer)

# run Snowboy on the resampled audio
snowboy_result = detector.RunDetection(b"".join(resampled_frames))
assert snowboy_result != -1, "Error initializing streams or reading audio data"
if snowboy_result > 0: break # wake word found
if time.time() - last_check > check_interval:
# run Snowboy on the resampled audio
snowboy_result = detector.RunDetection(b"".join(resampled_frames))
assert snowboy_result != -1, "Error initializing streams or reading audio data"
if snowboy_result > 0: break # wake word found
resampled_frames.clear()
last_check = time.time()

return b"".join(frames), elapsed_time

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