feat(xiaozhi): improve wake word robustness and remove boost path

examples/xiaozhi/README.md

@@ -136,15 +136,13 @@ APP_CONFIG = {
 
 ### Q：唤醒词一直没有反应？
 
-由于小爱音箱远场拾音音量较小，有时可能会识别不清，你可以调大 `config.py` 配置文件里的 `boost` 参数，然后重启应用 / Docker 试试看。
+如果唤醒词还是不敏感，可以先调低 `vad.threshold`，然后重启应用 / Docker 试试看。
 
 ```py
 APP_CONFIG = {
     "vad": {
-        # 小爱音箱录音音量较小，需要后期放大一下
-        "boost": 100,
-        # boost 调大后，语音检测阈值可能也需要一起调大些
-        "threshold": 0.50,
+        # 语音检测阈值（0-1，越小越灵敏）
+        "threshold": 0.05,
     },
     # ... 其他配置
 }

examples/xiaozhi/config.py

@@ -53,8 +53,6 @@ APP_CONFIG = {
         "after_wakeup": after_wakeup,
     },
     "vad": {
-        # 录音音量增强倍数（小爱音箱录音音量较小，需要后期放大一下）
-        "boost": 10,
         # 语音检测阈值（0-1，越小越灵敏）
         "threshold": 0.10,
         # 最小语音时长（ms）

examples/xiaozhi/xiaozhi/services/audio/kws/__init__.py

@@ -3,6 +3,8 @@ import os
 import threading
 import time
 
+import numpy as np
+
 from config import APP_CONFIG
 from xiaozhi.event import EventManager
 from xiaozhi.ref import get_speaker, get_xiaoai, get_xiaozhi, set_kws
@@ -11,9 +13,13 @@ from xiaozhi.services.audio.stream import MyAudio
 from xiaozhi.services.protocols.typing import AudioConfig, DeviceState
 from xiaozhi.utils.base import get_env
 
+KWS_MIN_RMS = 300.0
+KWS_MIN_TRIGGER_INTERVAL_MS = 1500
+
 
 class _KWS:
     def __init__(self):
+        self.last_trigger_ms = 0.0
         set_kws(self)
 
     def start(self):
@@ -45,6 +51,12 @@ class _KWS:
     def resume(self):
         self.paused = False
 
+    def _rms(self, frames: bytes) -> float:
+        samples = np.frombuffer(frames, dtype=np.int16).astype(np.float32)
+        if samples.size == 0:
+            return 0.0
+        return float(np.sqrt(np.mean(samples * samples) + 1e-6))
+
     def _detection_loop(self):
         SherpaOnnx.start()
         self.stream.start_stream()
@@ -65,8 +77,18 @@ class _KWS:
                 time.sleep(0.01)
                 continue
 
+            # 静音门控：低能量帧跳过 KWS 推理
+            if self._rms(frames) < KWS_MIN_RMS:
+                time.sleep(0.005)
+                continue
+
             result = SherpaOnnx.kws(frames)
             if result:
+                # 防抖：限制连续触发频率，降低重复误触发
+                now_ms = time.monotonic() * 1000.0
+                if now_ms - self.last_trigger_ms < KWS_MIN_TRIGGER_INTERVAL_MS:
+                    continue
+                self.last_trigger_ms = now_ms
                 print(f"🔥 触发唤醒: {result}")
                 self.on_message(result)
 

examples/xiaozhi/xiaozhi/services/audio/kws/sherpa.py

@@ -9,10 +9,10 @@ class _SherpaOnnx:
         self.keyword_spotter = sherpa_onnx.KeywordSpotter(
             provider="cpu",
             num_threads=1,
-            max_active_paths=4,
+            max_active_paths=8,
             keywords_score=2.0,
             keywords_threshold=0.2,
-            num_trailing_blanks=1,
+            num_trailing_blanks=0,
             keywords_file=get_model_file_path("keywords.txt"),
             tokens=get_model_file_path("tokens.txt"),
             encoder=get_model_file_path("encoder.onnx"),

examples/xiaozhi/xiaozhi/services/audio/stream.py

@@ -1,9 +1,6 @@
 import uuid
 from typing import Any, Callable, ClassVar, Optional
 
-import numpy as np
-
-from config import APP_CONFIG
 from xiaozhi.ref import get_xiaoai
 
 
@@ -88,10 +85,7 @@ class MyStream:
             return
 
         if len(data) > 0:
-            samples = np.frombuffer(data, dtype=np.int16)
-            # 小爱音箱录音音量较小，需要后期放大一下
-            samples = samples * APP_CONFIG["vad"]["boost"]
-            self.input_bytes.extend(samples.tobytes())
+            self.input_bytes.extend(data)
 
     def read(self, num_frames=None, exception_on_overflow=False) -> bytes:
         if num_frames is None: