记录三模型话轮检测实验、44点评估及延迟对比

experiments/smart-turn-v3.2/audio_utils.py

@@ -0,0 +1,13 @@
+import numpy as np
+
+
+def truncate_audio_to_last_n_seconds(audio_array, n_seconds=8, sample_rate=16000):
+    """Truncate audio to last n seconds or pad with zeros to meet n seconds."""
+    max_samples = n_seconds * sample_rate
+    if len(audio_array) > max_samples:
+        return audio_array[-max_samples:]
+    elif len(audio_array) < max_samples:
+        # Pad with zeros at the beginning
+        padding = max_samples - len(audio_array)
+        return np.pad(audio_array, (padding, 0), mode='constant', constant_values=0)
+    return audio_array