chore: import upstream snapshot with attribution

2026-07-13 13:25:10 +08:00
commit c397331b1e
3684 changed files with 990993 additions and 0 deletions
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+from funasr_onnx import Fsmn_vad_online
+import soundfile
+from pathlib import Path
+
+model_dir = "damo/speech_fsmn_vad_zh-cn-16k-common-pytorch"
+wav_path = "{}/.cache/modelscope/hub/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/example/vad_example.wav".format(
+    Path.home()
+)
+
+model = Fsmn_vad_online(model_dir)
+
+
+##online vad
+speech, sample_rate = soundfile.read(wav_path)
+speech_length = speech.shape[0]
+#
+sample_offset = 0
+step = 1600
+param_dict = {"in_cache": []}
+for sample_offset in range(0, speech_length, min(step, speech_length - sample_offset)):
+    if sample_offset + step >= speech_length - 1:
+        step = speech_length - sample_offset
+        is_final = True
+    else:
+        is_final = False
+    param_dict["is_final"] = is_final
+    segments_result = model(
+        audio_in=speech[sample_offset : sample_offset + step], param_dict=param_dict
+    )
+    if segments_result:
+        print(segments_result)