[本地语音降噪]：完成本地语音链路和噪音过滤，包含降噪模型、本地ASR和实时字幕稳定策略

scripts/download_speech_models.py

@@ -16,6 +16,8 @@ if str(SRC_DIR) not in sys.path:
     sys.path.insert(0, str(SRC_DIR))
 
 from owner_voice_pet.speech_models import (
+    DEFAULT_DENOISER_PATH,
+    DEFAULT_DENOISER_URL,
     DEFAULT_KWS_DIR,
     DEFAULT_KWS_KEYWORDS,
     DEFAULT_KWS_URL,
@@ -38,6 +40,7 @@ def main(argv: list[str] | None = None) -> int:
     download_kws(target, force=args.force)
     download_vad(target, force=args.force)
     download_stt(target, force=args.force)
+    download_denoiser(target, force=args.force)
     manifest = write_default_manifest(target)
     status = check_speech_models(target, require_sherpa=False)
     print(f"models_dir={target}")
@@ -112,6 +115,16 @@ def download_stt(models_dir: Path, *, force: bool = False) -> Path:
     return output_dir
 
 
+def download_denoiser(models_dir: Path, *, force: bool = False) -> Path:
+    output = models_dir / DEFAULT_DENOISER_PATH
+    if output.exists() and not force:
+        print(f"skip existing {output}")
+        return output
+    output.parent.mkdir(parents=True, exist_ok=True)
+    download_file(DEFAULT_DENOISER_URL, output)
+    return output
+
+
 def download_file(url: str, output: Path) -> None:
     tmp_output = output.with_suffix(output.suffix + ".part")
     print(f"download {url}")