Initial commit: FunASR Speech Recognition Toolkit

Add complete FunASR codebase including models, runtime, and documentation.

tests_models/test_fsmn_vad.py

@@ -0,0 +1,31 @@
+#!/usr/bin/env python3
+"""Test FSMN-VAD: Voice Activity Detection"""
+import sys
+import time
+
+def main():
+    from funasr import AutoModel
+
+    print("[FSMN-VAD] Loading model...")
+    t0 = time.time()
+    model = AutoModel(model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch", device="cpu", disable_update=True)
+    print("[FSMN-VAD] Model loaded in %.1fs" % (time.time()-t0))
+
+    print("[FSMN-VAD] Running inference...")
+    t0 = time.time()
+    res = model.generate(
+        input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
+    )
+    print("[FSMN-VAD] Inference done in %.1fs" % (time.time()-t0))
+    print("[FSMN-VAD] Result: %s" % res)
+
+    if res and len(res) > 0 and "value" in res[0]:
+        print("[FSMN-VAD] Detected %d speech segments" % len(res[0]["value"]))
+        print("[FSMN-VAD] PASSED")
+        return 0
+    else:
+        print("[FSMN-VAD] FAILED - no VAD segments detected")
+        return 1
+
+if __name__ == "__main__":
+    sys.exit(main())