[唤醒灵敏度与端点恢复]：完成唤醒提示顺序和Hybrid VAD优化，包含阈值默认值、缓冲时序和测试覆盖

tests/test_wake_vad_stt.py

@@ -7,7 +7,7 @@ import unittest
 from owner_voice_pet.models import AudioFrame, AudioSegment, ErrorCode, ProviderError
 from owner_voice_pet.config import AppConfig
 from owner_voice_pet.stt import CloudAsrSttProvider, MetadataSttProvider, SherpaOnnxSttProvider, is_valid_transcript_text
-from owner_voice_pet.vad import EnergyVadProvider, VadRecorder
+from owner_voice_pet.vad import EnergyVadProvider, HybridVadProvider, VadRecorder
 from owner_voice_pet.wakeword import (
     KeywordWakeWordProvider,
     MissingWakeWordModelProvider,
@@ -87,6 +87,30 @@ class WakeVadSttTests(unittest.TestCase):
         self.assertIsInstance(result, ProviderError)
         self.assertEqual(result.code, ErrorCode.VAD_TIMEOUT_NO_SPEECH)
 
+    def test_hybrid_vad_accepts_energy_fallback_speech(self) -> None:
+        class SilentVadProvider:
+            def __init__(self) -> None:
+                self.loaded = False
+
+            def load(self) -> None:
+                self.loaded = True
+
+            def analyze(self, frame: AudioFrame):
+                return type(
+                    "Result",
+                    (),
+                    {"is_speech": False, "confidence": 0.1, "speech_ms": 0, "silence_ms": 20},
+                )()
+
+            def reset(self) -> None:
+                return None
+
+        provider = HybridVadProvider(SilentVadProvider(), EnergyVadProvider())
+        provider.load()
+        result = provider.analyze(make_frame(1, 0, speech=True))
+        self.assertTrue(result.is_speech)
+        self.assertEqual(result.speech_ms, 20)
+
     def test_metadata_stt_transcribes_fixture_text(self) -> None:
         provider = MetadataSttProvider()
         provider.load()