makaveli10
28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
import unittest
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import numpy as np
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import torch
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import scipy.io as sio
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from whisper_live.tensorrt_utils import load_audio
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from whisper_live.vad import VoiceActivityDetection
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class TestVoiceActivityDetection(unittest.TestCase):
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def setUp(self):
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self.vad = VoiceActivityDetection()
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self.sample_rate = 16000
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def generate_silence(self, duration_seconds):
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return np.zeros(int(self.sample_rate * duration_seconds), dtype=np.float32)
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def load_speech_segment(self, filepath):
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return load_audio(filepath)
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def test_vad_silence_detection(self):
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silence = self.generate_silence(3)
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speech_prob = self.vad(torch.from_numpy(silence.copy()), self.sample_rate).item()
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self.assertLess(speech_prob, 0.5, "VAD incorrectly identified silence as speech.")
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def test_vad_speech_detection(self):
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audio_tensor = torch.from_numpy(load_audio("assets/jfk.flac"))
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speech_prob = self.vad(audio_tensor, self.sample_rate).item()
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self.assertGreater(speech_prob, 0.5, "VAD failed to identify speech segment.") |