funasr/bin/vad_inference.py
@@ -1,5 +1,6 @@ import argparse import logging import os import sys import json from pathlib import Path @@ -266,7 +267,8 @@ # do vad segment _, results = speech2vadsegment(**batch) for i, _ in enumerate(keys): results[i] = json.dumps(results[i]) if "MODELSCOPE_ENVIRONMENT" in os.environ and os.environ["MODELSCOPE_ENVIRONMENT"] == "eas": results[i] = json.dumps(results[i]) item = {'key': keys[i], 'value': results[i]} vad_results.append(item) if writer is not None: