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fix: transcribe remaining buffer when network drops

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This commit is contained in:
Twirre Meulenbelt
2026-02-09 15:59:48 +01:00
parent 4855bde1a4
commit df489f4ac3
2 changed files with 16 additions and 8 deletions
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4
.env.example
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@@ -12,8 +12,8 @@ LLM_SETTINGS__LOCAL_LLM_MODEL="gpt-oss"
# Number of non-speech chunks to wait before speech ended. A chunk is approximately 31 ms. Increasing this number allows longer pauses in speech, but also increases response time.
BEHAVIOUR_SETTINGS__VAD_NON_SPEECH_PATIENCE_CHUNKS=15
# Timeout in milliseconds for socket polling. Increase this number if network latency/jitter is high, often the case when using Wi-Fi. Perhaps 500 ms. A symptom of this issue is transcriptions getting cut off.
BEHAVIOUR_SETTINGS__SOCKET_POLLER_TIMEOUT_MS=100
# Timeout in milliseconds for socket polling. Increase this number if network latency/jitter is high, often the case when using Wi-Fi. Perhaps 500 ms or more. A symptom of this issue is transcriptions getting cut off.
BEHAVIOUR_SETTINGS__SOCKET_POLLER_TIMEOUT_MS=400

14
src/control_backend/agents/perception/vad_agent.py
View File

@@ -241,9 +241,20 @@ class VADAgent(BaseAgent):
self._reset_needed = False
assert self.audio_in_poller is not None
non_speech_patience = settings.behaviour_settings.vad_non_speech_patience_chunks
begin_silence_length = settings.behaviour_settings.vad_begin_silence_chunks
prob_threshold = settings.behaviour_settings.vad_prob_threshold
data = await self.audio_in_poller.poll()
if data is None:
if len(self.audio_buffer) > 0:
# Failed to receive new audio. Send remaining buffer to be transcribed.
if len(self.audio_buffer) > begin_silence_length * 512:
self.logger.debug("Speech ended.")
assert self.audio_out_socket is not None
await self.audio_out_socket.send(self.audio_buffer[: -2 * 512].tobytes())
else:
self.logger.debug(
"No audio data received. Discarding buffer until new data arrives."
)
@@ -255,9 +266,6 @@ class VADAgent(BaseAgent):
chunk = np.frombuffer(data, dtype=np.float32).copy()
assert self.model is not None
prob = self.model(torch.from_numpy(chunk), settings.vad_settings.sample_rate_hz).item()
non_speech_patience = settings.behaviour_settings.vad_non_speech_patience_chunks
begin_silence_length = settings.behaviour_settings.vad_begin_silence_chunks
prob_threshold = settings.behaviour_settings.vad_prob_threshold
if prob > prob_threshold:
if self.i_since_speech > non_speech_patience + begin_silence_length: