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Add control for segment clearing #29

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Add control for segment clearing #29

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65b0f6a
add control for segment clearing
ChenghaoMou Sep 17, 2025
9d7b104
add turn flag
ChenghaoMou Sep 19, 2025
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37 changes: 25 additions & 12 deletions record_and_predict.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,6 +104,7 @@ def record_and_predict():
# Segment assembly state
segment = [] # list of float32 chunks (includes pre, speech, trailing silence)
speech_active = False
turn_started = False
trailing_silence = 0
since_trigger_chunks = 0

Expand All @@ -130,15 +131,23 @@ def record_and_predict():
is_speech = vad.prob(f32) > VAD_THRESHOLD

if not speech_active:
# Warmup pre-speech buffer until trigger
pre_buffer.append(f32)
# It could mean two cases:
# 1. There are already some VAD spans, but it haven't reach a turn end
# 2. No VAD span has been identified
if not turn_started and not is_speech:
# Warmup pre-speech buffer until trigger
pre_buffer.append(f32)
if is_speech:
# Trigger: start a new segment with pre-speech
segment = list(pre_buffer)
if not turn_started:
# Trigger: start a new segment with pre-speech
segment = list(pre_buffer)
since_trigger_chunks = 0
segment.append(f32)
since_trigger_chunks += 1
speech_active = True
trailing_silence = 0
since_trigger_chunks = 1
turn_started = True
print(">> VAD span started")
else:
# Already in a segment
segment.append(f32)
Expand All @@ -152,13 +161,16 @@ def record_and_predict():
if trailing_silence >= stop_chunks or since_trigger_chunks >= max_chunks:
# Pause capture while we process
stream.stop_stream()
_process_segment(np.concatenate(segment, dtype=np.float32))
# Reset for next segment
segment.clear()
print(">> VAD span ended")
if _process_segment(np.concatenate(segment, dtype=np.float32)):
# Reset for next segment
segment.clear()
trailing_silence = 0
since_trigger_chunks = 0
pre_buffer.clear()
turn_started = False
print("[WARN] Turn ended")
speech_active = False
trailing_silence = 0
since_trigger_chunks = 0
pre_buffer.clear()
stream.start_stream()
print("Listening for speech...")

Expand All @@ -173,7 +185,7 @@ def record_and_predict():
def _process_segment(segment_audio_f32: np.ndarray):
if segment_audio_f32.size == 0:
print("Captured empty audio segment, skipping prediction.")
return
return 0

if DEBUG_SAVE_WAV:
wavfile.write(TEMP_OUTPUT_WAV, RATE, (segment_audio_f32 * 32767.0).astype(np.int16))
Expand All @@ -192,6 +204,7 @@ def _process_segment(segment_audio_f32: np.ndarray):
print(f"Prediction: {'Complete' if pred == 1 else 'Incomplete'}")
print(f"Probability of complete: {prob:.4f}")
print(f"Inference time: {dt_ms:.2f} ms")
return pred


if __name__ == "__main__":
Expand Down