Align Qwen realtime ASR with FunASR flow
Bifang
parent
fd621ab66e
commit
c07a51a010
11
.env.example
11
.env.example
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@ -118,6 +118,17 @@ QWEN3_ASR_MODEL=qwen3-asr-0.6b
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# -----------------------------------------------------------------------------
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# 调优参数。除非你在做特定瓶颈测试，否则建议保持默认。
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# -----------------------------------------------------------------------------
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# REALTIME_STREAM_CHUNK_SEC：Qwen 流式解码间隔；0.6 秒参考 FunASR 每 10 个 60ms 音频帧解码一次。
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# Qwen 每次解码会复用累计音频，缩短该值会降低显示延迟，也会增加推理开销。
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# REALTIME_STREAM_CHUNK_SEC=0.6
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# REALTIME_STREAM_MAX_PENDING_CHUNKS：Qwen 流式状态保留的待修订块数。
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# REALTIME_STREAM_MAX_PENDING_CHUNKS=3
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# REALTIME_ENABLE_VAD：启用 FSMN-VAD 流式端点和气泡时间边界。
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# REALTIME_ENABLE_VAD=true
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# REALTIME_VAD_CHUNK_MS：每次送入 FSMN-VAD 的音频块长度；参考 FunASR 示例使用 200ms。
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# REALTIME_VAD_CHUNK_MS=200
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# REALTIME_VAD_PRE_ROLL_MS：检测到语音起点时保留的前置音频，避免切掉首字。
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# REALTIME_VAD_PRE_ROLL_MS=600
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# ASR_BATCH_SIZE：批处理大小，表示一次并行推理的片段数。
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# ASR_BATCH_SIZE=4
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# ASR_ENABLE_WORD_TIMESTAMPS：是否启用字词级时间戳。
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@ -107,7 +107,9 @@ class Settings:
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REALTIME_MIN_PARTIAL_SEC: float = 0.45
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REALTIME_PARTIAL_EMIT_INTERVAL_SEC: float = 0.25
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REALTIME_PARTIAL_WINDOW_SEC: float = 8.0
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REALTIME_STREAM_CHUNK_SEC: float = 1.2
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# Match FunASR's roughly 600 ms online decode cadence; Qwen re-decodes the
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# accumulated stream, so this stays configurable for server-side tuning.
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REALTIME_STREAM_CHUNK_SEC: float = 0.6
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REALTIME_STREAM_MAX_PENDING_CHUNKS: int = 3
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REALTIME_STREAM_WINDOW_SEC: float = 8.0
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REALTIME_STREAM_STABLE_TAIL_CHARS: int = 8
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@ -119,6 +121,9 @@ class Settings:
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REALTIME_LONGFORM_OVERLAP_SEC: float = 1.2
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REALTIME_VAD_CHECK_INTERVAL_SEC: float = 0.8
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REALTIME_VAD_FINALIZE_SILENCE_SEC: float = 0.6
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REALTIME_ENABLE_VAD: bool = True
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REALTIME_VAD_CHUNK_MS: int = 200
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REALTIME_VAD_PRE_ROLL_MS: int = 600
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REALTIME_FINAL_SEGMENT_SOFT_LIMIT_SEC: float = 8.0
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REALTIME_FINAL_SEGMENT_HARD_LIMIT_SEC: float = 12.0
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REALTIME_ENABLE_DIARIZATION: bool = True
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@ -383,6 +388,16 @@ class Settings:
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str(self.REALTIME_VAD_FINALIZE_SILENCE_SEC),
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)
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)
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self.REALTIME_ENABLE_VAD = (
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os.getenv("REALTIME_ENABLE_VAD", str(self.REALTIME_ENABLE_VAD)).lower()
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== "true"
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)
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self.REALTIME_VAD_CHUNK_MS = int(
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os.getenv("REALTIME_VAD_CHUNK_MS", str(self.REALTIME_VAD_CHUNK_MS))
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)
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self.REALTIME_VAD_PRE_ROLL_MS = int(
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os.getenv("REALTIME_VAD_PRE_ROLL_MS", str(self.REALTIME_VAD_PRE_ROLL_MS))
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)
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self.REALTIME_FINAL_SEGMENT_SOFT_LIMIT_SEC = float(
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os.getenv(
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"REALTIME_FINAL_SEGMENT_SOFT_LIMIT_SEC",
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@ -131,8 +131,8 @@ def _handle_asr_error(operation: str):
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@dataclass
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class Qwen3StreamingState:
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internal_state: Any
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chunk_size_sec: float = 1.2
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unfixed_chunk_num: int = 2
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chunk_size_sec: float = 0.6
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unfixed_chunk_num: int = 3
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unfixed_token_num: int = 5
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max_new_tokens: int = 32
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language: Optional[str] = None
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@ -576,8 +576,8 @@ class Qwen3ASREngine(BaseASREngine):
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if self._backend == "rust":
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if context:
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logger.debug("QwenASR Rust backend ignores streaming context hints")
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chunk_size_sec = float(kwargs.get("chunk_size_sec", 1.2))
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unfixed_chunk_num = int(kwargs.get("unfixed_chunk_num", 2))
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chunk_size_sec = float(kwargs.get("chunk_size_sec", 0.6))
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unfixed_chunk_num = int(kwargs.get("unfixed_chunk_num", 3))
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unfixed_token_num = int(kwargs.get("unfixed_token_num", 5))
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max_new_tokens = int(kwargs.get("max_new_tokens", 32))
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stream_handle = self.model.create_stream(
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@ -607,8 +607,8 @@ class Qwen3ASREngine(BaseASREngine):
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)
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return Qwen3StreamingState(
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internal_state=streaming_state,
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chunk_size_sec=float(kwargs.get("chunk_size_sec", 1.2)),
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unfixed_chunk_num=int(kwargs.get("unfixed_chunk_num", 2)),
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chunk_size_sec=float(kwargs.get("chunk_size_sec", 0.6)),
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unfixed_chunk_num=int(kwargs.get("unfixed_chunk_num", 3)),
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unfixed_token_num=int(kwargs.get("unfixed_token_num", 5)),
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max_new_tokens=int(kwargs.get("max_new_tokens", 32)),
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language=language,
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@ -244,6 +244,15 @@ class ConnectionContext:
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engine_lease: Optional[RuntimeEngineLease] = None
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engine: Optional[Qwen3ASREngine] = None
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pre_roll_audio: np.ndarray = field(default_factory=lambda: np.array([], dtype=np.float32))
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pre_roll_start_sample: int = 0
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audio_samples_received: int = 0
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segment_buffer_start_sample: int = 0
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# FSMN-VAD cache and pending samples are private to this WebSocket stream.
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vad_cache: Dict[str, Any] = field(default_factory=dict)
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vad_pending_audio: np.ndarray = field(default_factory=lambda: np.array([], dtype=np.float32))
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vad_speech_active: bool = False
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vad_speech_start_sample: Optional[int] = None
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vad_failed: bool = False
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# segment_audio_buffer 保留“当前断句以来”的完整音频，用于断句时提取声纹。
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segment_audio_buffer: np.ndarray = field(default_factory=lambda: np.array([], dtype=np.float32))
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# stream_window_buffer 保留最近窗口，供 realtime partial 在 native stream 失效时兜底重转写。
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@ -266,6 +275,7 @@ class ConnectionContext:
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last_partial_chunk_id: int = 0
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last_partial_raw_text: str = ""
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last_partial_display_text: str = ""
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partial_preview_text: str = ""
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stable_partial_prefix: str = ""
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pending_partial_revision_text: str = ""
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pending_partial_revision_rounds: int = 0
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@ -1070,7 +1080,163 @@ class Qwen3ASRService:
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return text[-limit:]
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def _enable_realtime_vad_split(self, ctx: ConnectionContext) -> bool:
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return bool(ctx.params.get("enable_realtime_vad_split", False))
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return bool(
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ctx.params.get(
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"enable_realtime_vad_split",
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getattr(settings, "REALTIME_ENABLE_VAD", True),
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)
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)
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def _enable_realtime_vad(self, ctx: ConnectionContext) -> bool:
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if str(ctx.params.get("format", "pcm")).lower() == "wav":
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# Uploaded WAV is delivered as one complete message, not live frames.
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return False
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return bool(
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ctx.params.get(
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"enable_realtime_vad",
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getattr(settings, "REALTIME_ENABLE_VAD", True),
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)
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) and not ctx.vad_failed
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async def _warm_realtime_vad(self, ctx: ConnectionContext) -> None:
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"""Load the shared FSMN-VAD model before the first speech boundary is needed."""
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if not self._enable_realtime_vad(ctx):
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return
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try:
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await run_sync(get_global_vad_model, settings.DEVICE)
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except Exception as exc:
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# Realtime energy gating remains available if the optional VAD model fails.
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ctx.vad_failed = True
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logger.warning("Realtime FSMN-VAD unavailable; using energy fallback: %s", exc)
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@staticmethod
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def _generate_realtime_vad_chunks(
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chunks: List[np.ndarray],
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cache: Dict[str, Any],
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chunk_size_ms: int,
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*,
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is_final: bool = False,
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) -> List[List[List[int]]]:
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"""Run cached FSMN-VAD inference over fixed 200 ms mono audio frames."""
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vad_model = get_global_vad_model(settings.DEVICE)
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results: List[List[List[int]]] = []
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with get_vad_inference_lock():
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for index, chunk in enumerate(chunks):
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output = vad_model.generate(
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input=np.asarray(chunk, dtype=np.float32),
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cache=cache,
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is_final=is_final and index == len(chunks) - 1,
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chunk_size=chunk_size_ms,
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disable_pbar=True,
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)
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values = output[0].get("value", []) if output else []
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results.append(values or [])
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return results
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async def _push_realtime_vad_audio(
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self,
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ctx: ConnectionContext,
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audio: np.ndarray,
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) -> List[tuple[int, int]]:
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"""Feed each stream's FSMN-VAD cache and return completed absolute boundaries."""
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if audio.size == 0 or not self._enable_realtime_vad(ctx):
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return []
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chunk_size_ms = max(
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int(getattr(settings, "REALTIME_VAD_CHUNK_MS", 200) or 200),
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100,
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)
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chunk_samples = max(int(chunk_size_ms * 16), 1600)
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ctx.vad_pending_audio = np.concatenate([ctx.vad_pending_audio, audio])
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complete_count = int(ctx.vad_pending_audio.size // chunk_samples)
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if complete_count <= 0:
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return []
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split_at = complete_count * chunk_samples
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chunks = [
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np.asarray(ctx.vad_pending_audio[offset:offset + chunk_samples], dtype=np.float32)
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for offset in range(0, split_at, chunk_samples)
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]
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ctx.vad_pending_audio = np.asarray(ctx.vad_pending_audio[split_at:], dtype=np.float32)
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try:
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outputs = await run_sync(
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self._generate_realtime_vad_chunks,
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chunks,
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ctx.vad_cache,
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chunk_size_ms,
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)
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except Exception as exc:
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ctx.vad_failed = True
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ctx.vad_speech_active = False
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logger.warning("Realtime FSMN-VAD inference failed; using energy fallback: %s", exc)
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return []
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completed: List[tuple[int, int]] = []
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for values in outputs:
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for value in values:
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if not isinstance(value, (list, tuple)) or len(value) < 2:
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continue
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start_ms, end_ms = int(value[0]), int(value[1])
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if start_ms >= 0:
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ctx.vad_speech_start_sample = start_ms * 16
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ctx.vad_speech_active = True
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if end_ms >= 0:
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start_sample = (
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start_ms * 16
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if start_ms >= 0
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else ctx.vad_speech_start_sample
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)
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if start_sample is not None and end_ms * 16 > start_sample:
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completed.append((int(start_sample), end_ms * 16))
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ctx.vad_speech_active = False
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ctx.vad_speech_start_sample = None
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return completed
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async def _flush_realtime_vad(self, ctx: ConnectionContext) -> List[tuple[int, int]]:
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"""Flush the final short VAD frame so stop can use its last boundary."""
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if not self._enable_realtime_vad(ctx) or ctx.vad_pending_audio.size == 0:
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return []
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chunk_size_ms = max(
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int(getattr(settings, "REALTIME_VAD_CHUNK_MS", 200) or 200),
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100,
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)
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final_chunk = np.asarray(ctx.vad_pending_audio, dtype=np.float32)
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ctx.vad_pending_audio = np.array([], dtype=np.float32)
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try:
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outputs = await run_sync(
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self._generate_realtime_vad_chunks,
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[final_chunk],
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ctx.vad_cache,
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chunk_size_ms,
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is_final=True,
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)
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except Exception as exc:
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ctx.vad_failed = True
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logger.warning("Realtime FSMN-VAD flush failed; using energy fallback: %s", exc)
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return []
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completed: List[tuple[int, int]] = []
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for values in outputs:
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for value in values:
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if not isinstance(value, (list, tuple)) or len(value) < 2:
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continue
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start_ms, end_ms = int(value[0]), int(value[1])
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if start_ms >= 0:
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ctx.vad_speech_start_sample = start_ms * 16
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ctx.vad_speech_active = True
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if end_ms >= 0:
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start_sample = (
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start_ms * 16
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if start_ms >= 0
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else ctx.vad_speech_start_sample
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)
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if start_sample is not None and end_ms * 16 > start_sample:
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completed.append((int(start_sample), end_ms * 16))
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ctx.vad_speech_active = False
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ctx.vad_speech_start_sample = None
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return completed
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def _enable_realtime_longform(self, ctx: ConnectionContext) -> bool:
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return bool(ctx.params.get("enable_realtime_longform", False))
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@ -1285,25 +1451,47 @@ class Qwen3ASRService:
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)
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return fallback, ""
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def _append_pre_roll(self, ctx: ConnectionContext, audio: np.ndarray) -> None:
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def _append_pre_roll(
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self,
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ctx: ConnectionContext,
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audio: np.ndarray,
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*,
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start_sample: Optional[int] = None,
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) -> None:
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if audio.size == 0:
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return
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if ctx.pre_roll_audio.size == 0 and start_sample is not None:
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ctx.pre_roll_start_sample = int(start_sample)
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ctx.pre_roll_audio = np.concatenate([ctx.pre_roll_audio, audio])
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max_samples = self._pre_roll_samples(ctx)
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if max_samples <= 0:
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ctx.pre_roll_audio = np.array([], dtype=np.float32)
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if start_sample is not None:
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ctx.pre_roll_start_sample = int(start_sample) + int(audio.size)
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elif ctx.pre_roll_audio.size > max_samples:
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ctx.pre_roll_audio = ctx.pre_roll_audio[-max_samples:]
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removed = int(ctx.pre_roll_audio.size - max_samples)
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ctx.pre_roll_audio = ctx.pre_roll_audio[removed:]
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ctx.pre_roll_start_sample += removed
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def _start_turn(self, ctx: ConnectionContext, audio: np.ndarray) -> None:
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def _start_turn(
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self,
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ctx: ConnectionContext,
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audio: np.ndarray,
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*,
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start_sample: Optional[int] = None,
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) -> None:
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parts: List[np.ndarray] = []
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turn_start_sample = int(start_sample or 0)
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if ctx.pre_roll_audio.size > 0:
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parts.append(np.asarray(ctx.pre_roll_audio, dtype=np.float32))
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turn_start_sample = int(ctx.pre_roll_start_sample)
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parts.append(np.asarray(audio, dtype=np.float32))
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ctx.segment_audio_buffer = (
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np.concatenate(parts) if len(parts) > 1 else np.asarray(parts[0], dtype=np.float32)
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)
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ctx.segment_buffer_start_sample = turn_start_sample
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ctx.pre_roll_audio = np.array([], dtype=np.float32)
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ctx.pre_roll_start_sample = int(turn_start_sample + ctx.segment_audio_buffer.size)
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window_samples = self._stream_window_samples()
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ctx.stream_window_buffer = np.asarray(
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ctx.segment_audio_buffer[-window_samples:],
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@ -1350,6 +1538,7 @@ class Qwen3ASRService:
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ctx.last_partial_chunk_id = 0
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ctx.last_partial_raw_text = ""
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ctx.last_partial_display_text = ""
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ctx.partial_preview_text = ""
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ctx.stable_partial_prefix = ""
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ctx.pending_partial_revision_text = ""
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ctx.pending_partial_revision_rounds = 0
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@ -1828,6 +2017,20 @@ class Qwen3ASRService:
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stable_prefix = stripped[:-holdback_chars].rstrip()
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return stable_prefix or stripped
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def _append_only_partial_preview(
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self,
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ctx: ConnectionContext,
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text: str,
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) -> str:
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"""Expose only newly stabilized prefixes; the final event carries revisions."""
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candidate = self._partial_display_text(ctx, text)
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previous = ctx.partial_preview_text
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if not previous or candidate.startswith(previous):
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ctx.partial_preview_text = candidate
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# Qwen may rewrite its rolling snapshot. Keep the already shown prefix
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# fixed until finalization so the browser never retracts earlier words.
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return ctx.partial_preview_text
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def _is_suspicious_segment_text(
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self,
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text: str,
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@ -1924,25 +2127,22 @@ class Qwen3ASRService:
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if audio.size == 0:
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return []
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temp_path: Optional[str] = None
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try:
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temp_path = get_speaker_registry_service().save_audio_array_to_temp(
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audio,
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sample_rate=16000,
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)
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def _run_vad() -> list[list[int]]:
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vad_model = get_global_vad_model(settings.DEVICE)
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with get_vad_inference_lock():
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result = vad_model.generate(input=temp_path, cache={})
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# FunASR's FSMN-VAD accepts mono float32 NumPy audio directly.
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result = vad_model.generate(
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||||
input=np.asarray(audio, dtype=np.float32),
|
||||
cache={},
|
||||
disable_pbar=True,
|
||||
)
|
||||
return result[0].get("value", []) if result else []
|
||||
|
||||
return await run_sync(_run_vad)
|
||||
except Exception as exc:
|
||||
logger.debug("Realtime voiced-duration VAD failed: %s", exc)
|
||||
return None
|
||||
finally:
|
||||
get_speaker_registry_service().cleanup_file(temp_path)
|
||||
|
||||
async def _split_silence_audio_by_vad(
|
||||
self,
|
||||
|
|
@ -2389,6 +2589,8 @@ class Qwen3ASRService:
|
|||
*,
|
||||
finalized_audio_override: Optional[np.ndarray] = None,
|
||||
carry_audio_override: Optional[np.ndarray] = None,
|
||||
segment_start_ms_override: Optional[int] = None,
|
||||
segment_end_ms_override: Optional[int] = None,
|
||||
emit_segment_start: bool = True,
|
||||
) -> None:
|
||||
engine = await self._ensure_engine(ctx)
|
||||
|
|
@ -2500,8 +2702,18 @@ class Qwen3ASRService:
|
|||
|
||||
is_valid = self._is_valid_committed_segment_text(segment_text, duration_sec)
|
||||
segment_duration_ms = int(finalized_audio.size / 16)
|
||||
segment_start_ms = int(ctx.timeline_cursor_ms)
|
||||
segment_end_ms = int(segment_start_ms + segment_duration_ms)
|
||||
segment_start_ms = int(
|
||||
ctx.timeline_cursor_ms
|
||||
if segment_start_ms_override is None
|
||||
else segment_start_ms_override
|
||||
)
|
||||
segment_end_ms = int(
|
||||
segment_start_ms + segment_duration_ms
|
||||
if segment_end_ms_override is None
|
||||
else segment_end_ms_override
|
||||
)
|
||||
if segment_end_ms < segment_start_ms:
|
||||
segment_end_ms = segment_start_ms + segment_duration_ms
|
||||
|
||||
if is_valid:
|
||||
segment_payload = {
|
||||
|
|
@ -2560,6 +2772,13 @@ class Qwen3ASRService:
|
|||
ctx.segment_index += 1
|
||||
|
||||
ctx.timeline_cursor_ms = segment_end_ms
|
||||
if carry_audio.size > 0:
|
||||
ctx.segment_buffer_start_sample += max(
|
||||
int(current_audio.size - carry_audio.size),
|
||||
0,
|
||||
)
|
||||
else:
|
||||
ctx.segment_buffer_start_sample = int(ctx.audio_samples_received)
|
||||
ctx.segment_audio_buffer = np.asarray(carry_audio, dtype=np.float32)
|
||||
ctx.stream_window_buffer = np.asarray(carry_audio, dtype=np.float32)
|
||||
ctx.sentence_active = bool(carry_audio.size > 0)
|
||||
|
|
@ -2574,6 +2793,52 @@ class Qwen3ASRService:
|
|||
np.asarray(carry_audio, dtype=np.float32),
|
||||
)
|
||||
|
||||
async def _commit_vad_boundary(
|
||||
self,
|
||||
websocket: WebSocket,
|
||||
ctx: ConnectionContext,
|
||||
task_id: str,
|
||||
boundary: tuple[int, int],
|
||||
*,
|
||||
reason: str = "vad_end",
|
||||
emit_segment_start: bool = True,
|
||||
) -> bool:
|
||||
"""Trim one turn to FSMN-VAD's absolute start/end samples before commit."""
|
||||
current_audio = np.asarray(ctx.segment_audio_buffer, dtype=np.float32)
|
||||
turn_start_sample = int(ctx.segment_buffer_start_sample)
|
||||
start_sample = max(int(boundary[0]), turn_start_sample)
|
||||
stream_end_sample = turn_start_sample + int(current_audio.size)
|
||||
end_sample = min(int(boundary[1]), stream_end_sample)
|
||||
if end_sample <= start_sample:
|
||||
return False
|
||||
|
||||
start_offset = start_sample - turn_start_sample
|
||||
end_offset = end_sample - turn_start_sample
|
||||
finalized_audio = np.asarray(current_audio[start_offset:end_offset], dtype=np.float32)
|
||||
trailing_audio = np.asarray(current_audio[end_offset:], dtype=np.float32)
|
||||
if finalized_audio.size == 0:
|
||||
return False
|
||||
|
||||
await self._commit_retranscribe_turn(
|
||||
websocket,
|
||||
ctx,
|
||||
task_id,
|
||||
reason,
|
||||
finalized_audio_override=finalized_audio,
|
||||
segment_start_ms_override=int(start_sample / 16),
|
||||
segment_end_ms_override=int(end_sample / 16),
|
||||
emit_segment_start=emit_segment_start,
|
||||
)
|
||||
# Preserve post-end audio as pre-roll for a possible next utterance in
|
||||
# the same network frame, while the bubble duration follows VAD bounds.
|
||||
self._append_pre_roll(
|
||||
ctx,
|
||||
trailing_audio,
|
||||
start_sample=end_sample,
|
||||
)
|
||||
ctx.vad_speech_start_sample = None
|
||||
return True
|
||||
|
||||
async def _send_error(
|
||||
self,
|
||||
websocket: WebSocket,
|
||||
|
|
@ -2678,7 +2943,10 @@ class Qwen3ASRService:
|
|||
"partial_window_sec",
|
||||
settings.REALTIME_PARTIAL_WINDOW_SEC,
|
||||
),
|
||||
"pre_roll_ms": payload.get("pre_roll_ms", 240),
|
||||
"pre_roll_ms": payload.get(
|
||||
"pre_roll_ms",
|
||||
settings.REALTIME_VAD_PRE_ROLL_MS,
|
||||
),
|
||||
"max_sentence_count": payload.get("max_sentence_count", 8),
|
||||
"max_partial_text_chars": payload.get(
|
||||
"max_partial_text_chars",
|
||||
|
|
@ -2702,7 +2970,14 @@ class Qwen3ASRService:
|
|||
settings.REALTIME_ENABLE_SEGMENT_REFINE,
|
||||
),
|
||||
"enable_realtime_longform": payload.get("enable_realtime_longform", False),
|
||||
"enable_realtime_vad_split": payload.get("enable_realtime_vad_split", False),
|
||||
"enable_realtime_vad": payload.get(
|
||||
"enable_realtime_vad",
|
||||
settings.REALTIME_ENABLE_VAD,
|
||||
),
|
||||
"enable_realtime_vad_split": payload.get(
|
||||
"enable_realtime_vad_split",
|
||||
settings.REALTIME_ENABLE_VAD,
|
||||
),
|
||||
"force_stable_segment_sec": payload.get(
|
||||
"force_stable_segment_sec",
|
||||
settings.REALTIME_FORCE_STABLE_SEGMENT_SEC,
|
||||
|
|
@ -2724,7 +2999,16 @@ class Qwen3ASRService:
|
|||
),
|
||||
}
|
||||
|
||||
ctx.vad_cache = {}
|
||||
ctx.vad_pending_audio = np.array([], dtype=np.float32)
|
||||
ctx.vad_speech_active = False
|
||||
ctx.vad_speech_start_sample = None
|
||||
ctx.vad_failed = False
|
||||
ctx.audio_samples_received = 0
|
||||
ctx.segment_buffer_start_sample = 0
|
||||
|
||||
await self._ensure_engine(ctx)
|
||||
await self._warm_realtime_vad(ctx)
|
||||
ctx.stream_window_buffer = np.array([], dtype=np.float32)
|
||||
self._reset_partial_state(ctx)
|
||||
|
||||
|
|
@ -2775,13 +3059,56 @@ class Qwen3ASRService:
|
|||
if audio is None:
|
||||
continue
|
||||
|
||||
has_voice = self._has_voice(audio)
|
||||
audio_start_sample = int(ctx.audio_samples_received)
|
||||
ctx.audio_samples_received += int(audio.size)
|
||||
# The bundled demo sends a whole WAV in one frame; keep it
|
||||
# intact for final ASR instead of treating it as microphone pre-roll.
|
||||
bulk_audio_frame = (
|
||||
str(ctx.params.get("format", "pcm")).lower() == "wav"
|
||||
or audio.size > int(1.5 * 16000)
|
||||
)
|
||||
vad_boundaries = (
|
||||
[]
|
||||
if str(ctx.params.get("format", "pcm")).lower() == "wav"
|
||||
else await self._push_realtime_vad_audio(ctx, audio)
|
||||
)
|
||||
energy_voice = self._has_voice(audio)
|
||||
has_voice = (
|
||||
bulk_audio_frame
|
||||
or energy_voice
|
||||
or ctx.vad_speech_active
|
||||
or bool(vad_boundaries)
|
||||
)
|
||||
|
||||
if not ctx.sentence_active:
|
||||
if not has_voice:
|
||||
self._append_pre_roll(ctx, audio)
|
||||
self._append_pre_roll(
|
||||
ctx,
|
||||
audio,
|
||||
start_sample=audio_start_sample,
|
||||
)
|
||||
continue
|
||||
self._start_turn(ctx, audio)
|
||||
if bulk_audio_frame:
|
||||
self._start_turn(
|
||||
ctx,
|
||||
audio,
|
||||
start_sample=audio_start_sample,
|
||||
)
|
||||
else:
|
||||
self._append_pre_roll(
|
||||
ctx,
|
||||
audio,
|
||||
start_sample=audio_start_sample,
|
||||
)
|
||||
self._start_turn(
|
||||
ctx,
|
||||
(
|
||||
np.array([], dtype=np.float32)
|
||||
if ctx.pre_roll_audio.size > 0
|
||||
else audio
|
||||
),
|
||||
start_sample=audio_start_sample,
|
||||
)
|
||||
engine = await self._ensure_engine(ctx)
|
||||
await self._push_realtime_stream_audio(
|
||||
ctx,
|
||||
|
|
@ -2789,7 +3116,7 @@ class Qwen3ASRService:
|
|||
np.asarray(ctx.segment_audio_buffer, dtype=np.float32),
|
||||
)
|
||||
else:
|
||||
self._append_turn_audio(ctx, audio, has_voice=has_voice)
|
||||
self._append_turn_audio(ctx, audio, has_voice=energy_voice)
|
||||
engine = await self._ensure_engine(ctx)
|
||||
await self._push_realtime_stream_audio(ctx, engine, audio)
|
||||
|
||||
|
|
@ -2823,7 +3150,11 @@ class Qwen3ASRService:
|
|||
ctx,
|
||||
visible_observed,
|
||||
)
|
||||
partial_display = self._clip_partial_text(visible_observed, ctx)
|
||||
partial_display = self._append_only_partial_preview(
|
||||
ctx,
|
||||
visible_observed,
|
||||
)
|
||||
partial_display = self._clip_partial_text(partial_display, ctx)
|
||||
if (
|
||||
partial_display
|
||||
and (
|
||||
|
|
@ -2842,11 +3173,26 @@ class Qwen3ASRService:
|
|||
replace_snapshot=has_native_stream_snapshot,
|
||||
)
|
||||
|
||||
if bulk_audio_frame:
|
||||
partial_start_sample = ctx.segment_buffer_start_sample
|
||||
partial_end_sample = ctx.audio_samples_received
|
||||
else:
|
||||
partial_start_sample = ctx.vad_speech_start_sample
|
||||
if partial_start_sample is None and vad_boundaries:
|
||||
partial_start_sample = vad_boundaries[0][0]
|
||||
if partial_start_sample is None:
|
||||
partial_start_sample = ctx.segment_buffer_start_sample
|
||||
partial_end_sample = (
|
||||
vad_boundaries[0][1]
|
||||
if vad_boundaries
|
||||
else ctx.audio_samples_received
|
||||
)
|
||||
|
||||
sentence_payload = self._build_tencent_sentence(
|
||||
{
|
||||
"index": ctx.segment_index,
|
||||
"start_ms": int(ctx.timeline_cursor_ms),
|
||||
"end_ms": int(ctx.timeline_cursor_ms + (ctx.segment_audio_buffer.size / 16)),
|
||||
"start_ms": int(partial_start_sample / 16),
|
||||
"end_ms": int(partial_end_sample / 16),
|
||||
"text": partial_display,
|
||||
"speaker_id": -1,
|
||||
"sentence_type": 0,
|
||||
|
|
@ -2890,13 +3236,63 @@ class Qwen3ASRService:
|
|||
)
|
||||
continue
|
||||
|
||||
if vad_boundaries and ctx.sentence_active and not bulk_audio_frame:
|
||||
if await self._commit_vad_boundary(
|
||||
websocket,
|
||||
ctx,
|
||||
task_id,
|
||||
vad_boundaries[0],
|
||||
):
|
||||
ctx.state = ConnectionState.STREAMING
|
||||
continue
|
||||
|
||||
silence_threshold = self._get_dynamic_silence_threshold_samples(ctx)
|
||||
if self._enable_realtime_vad(ctx) and ctx.vad_speech_active:
|
||||
# Give FSMN-VAD time to confirm an endpoint before the
|
||||
# legacy energy-based safety fallback closes the turn.
|
||||
vad_fallback_sec = max(
|
||||
float(settings.REALTIME_VAD_FINALIZE_SILENCE_SEC) + 0.8,
|
||||
1.2,
|
||||
)
|
||||
silence_threshold = max(
|
||||
silence_threshold,
|
||||
int(vad_fallback_sec * 16000),
|
||||
)
|
||||
if ctx.silence_samples >= silence_threshold:
|
||||
if self._enable_realtime_vad(ctx):
|
||||
fallback_segments = await self._run_vad_segments(
|
||||
np.asarray(ctx.segment_audio_buffer, dtype=np.float32)
|
||||
)
|
||||
valid_segments = [
|
||||
(int(item[0]), int(item[1]))
|
||||
for item in (fallback_segments or [])
|
||||
if len(item) >= 2 and int(item[1]) > int(item[0])
|
||||
]
|
||||
if valid_segments:
|
||||
fallback_boundary = (
|
||||
int(ctx.segment_buffer_start_sample + valid_segments[0][0] * 16),
|
||||
int(ctx.segment_buffer_start_sample + valid_segments[-1][1] * 16),
|
||||
)
|
||||
if await self._commit_vad_boundary(
|
||||
websocket,
|
||||
ctx,
|
||||
task_id,
|
||||
fallback_boundary,
|
||||
reason="vad_fallback",
|
||||
):
|
||||
ctx.state = ConnectionState.STREAMING
|
||||
continue
|
||||
|
||||
await self._commit_retranscribe_turn(
|
||||
websocket,
|
||||
ctx,
|
||||
task_id,
|
||||
"silence",
|
||||
finalized_audio_override=np.asarray(
|
||||
ctx.segment_audio_buffer,
|
||||
dtype=np.float32,
|
||||
),
|
||||
carry_audio_override=np.array([], dtype=np.float32),
|
||||
)
|
||||
ctx.state = ConnectionState.STREAMING
|
||||
continue
|
||||
|
|
@ -2959,7 +3355,34 @@ class Qwen3ASRService:
|
|||
task_id: str,
|
||||
) -> None:
|
||||
try:
|
||||
final_vad_boundaries = await self._flush_realtime_vad(ctx)
|
||||
if ctx.sentence_active and ctx.segment_audio_buffer.size > 0:
|
||||
final_boundary = (
|
||||
final_vad_boundaries[-1]
|
||||
if final_vad_boundaries
|
||||
else None
|
||||
)
|
||||
if (
|
||||
final_boundary is None
|
||||
and self._enable_realtime_vad(ctx)
|
||||
and ctx.vad_speech_active
|
||||
and ctx.vad_speech_start_sample is not None
|
||||
):
|
||||
final_boundary = (
|
||||
int(ctx.vad_speech_start_sample),
|
||||
int(ctx.audio_samples_received),
|
||||
)
|
||||
|
||||
if final_boundary is not None and await self._commit_vad_boundary(
|
||||
websocket,
|
||||
ctx,
|
||||
task_id,
|
||||
final_boundary,
|
||||
reason="final",
|
||||
emit_segment_start=False,
|
||||
):
|
||||
pass
|
||||
else:
|
||||
await self._commit_retranscribe_turn(
|
||||
websocket,
|
||||
ctx,
|
||||
|
|
|
|||
Loading…
Reference in New Issue