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import torch
import torchaudio.functional as F
from torchaudio_unittest.common_utils import skipIfNoExec, TempDirMixin, TestBaseMixin
from torchaudio_unittest.common_utils.kaldi_utils import convert_args, run_kaldi
class Kaldi(TempDirMixin, TestBaseMixin):
def assert_equal(self, output, *, expected, rtol=None, atol=None):
expected = expected.to(dtype=self.dtype, device=self.device)
self.assertEqual(output, expected, rtol=rtol, atol=atol)
@skipIfNoExec("apply-cmvn-sliding")
def test_sliding_window_cmn(self):
"""sliding_window_cmn should be numerically compatible with apply-cmvn-sliding"""
kwargs = {
"cmn_window": 600,
"min_cmn_window": 100,
"center": False,
"norm_vars": False,
}
tensor = torch.randn(40, 10, dtype=self.dtype, device=self.device)
result = F.sliding_window_cmn(tensor, **kwargs)
command = ["apply-cmvn-sliding"] + convert_args(**kwargs) + ["ark:-", "ark:-"]
kaldi_result = run_kaldi(command, "ark", tensor)
self.assert_equal(result, expected=kaldi_result)
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