| from silero_vad import load_silero_vad, read_audio, get_speech_timestamps |
| import torch |
| torch.set_num_threads(1) |
|
|
| def test_jit_model(): |
| model = load_silero_vad(onnx=False) |
| for path in ["tests/data/test.wav", "tests/data/test.opus", "tests/data/test.mp3"]: |
| audio = read_audio(path, sampling_rate=16000) |
| speech_timestamps = get_speech_timestamps(audio, model, visualize_probs=False, return_seconds=True) |
| assert speech_timestamps is not None |
| out = model.audio_forward(audio, sr=16000) |
| assert out is not None |
|
|
| def test_onnx_model(): |
| model = load_silero_vad(onnx=True) |
| for path in ["tests/data/test.wav", "tests/data/test.opus", "tests/data/test.mp3"]: |
| audio = read_audio(path, sampling_rate=16000) |
| speech_timestamps = get_speech_timestamps(audio, model, visualize_probs=False, return_seconds=True) |
| assert speech_timestamps is not None |
|
|
| out = model.audio_forward(audio, sr=16000) |
| assert out is not None |
|
|
