dd7096573ce182331bddeef3e5168e886d8ffe68,pb_bss/evaluation/wrapper.py,InputMetrics,pesq,#InputMetrics#,89

Before Change

            return np.nan

        mode = {8000: "nb", 16000: "wb"}[self.sample_rate]
        try:
            scores = pb.evaluation.pesq(
                reference=rearrange(
                    [self.speech_source] * self.channels,
                    "channels sources samples -> (sources channels) samples"
                ),
                degraded=rearrange(
                    [self.observation] * self.K_source,
                    "sources channels samples -> (sources channels) samples"
                ),
                rate=self.sample_rate,
                mode=mode,
            )
            return np.reshape(scores, [self.K_source, self.channels])
        except OSError:
            return np.nan

    @cached_property.cached_property
    def invasive_sxr(self):
        from pb_bss.evaluation.sxr_module import input_sxr
        invasive_sxr = input_sxr(

After Change

            )
        mode = {8000: "nb", 16000: "wb"}[self.sample_rate]

        return np.reshape([
            pypesq.pypesq(ref=ref, deg=deg, fs=self.sample_rate, mode=mode)
            for ref, deg in zip(
                rearrange(
                    [self.speech_source] * self.channels,
                    "channels sources samples -> (sources channels) samples"
                ),
                rearrange(
                    [self.observation] * self.K_source,
                    "sources channels samples -> (sources channels) samples"
                )
            )
        ], [self.K_source, self.channels])

    @cached_property.cached_property
    def invasive_sxr(self):

Instances