INNER CODE UNIT · Python

c

voicepaw/so-vits-svc-fork · src/so_vits_svc_fork/inference/core.py:164

            c = cluster_infer_ratio * cluster_c + (1 - cluster_infer_ratio) * c

        c = c.unsqueeze(0)
        return c, f0, uv

    def infer(
        self,
        speaker: int | str,
        transpose: int,
        audio: ndarray[Any, dtype[float32]],
        cluster_infer_ratio: float = 0,
        auto_predict_f0: bool = False,
        noise_scale: float = 0.4,
        f0_method: Literal["crepe", "crepe-tiny", "parselmouth", "dio", "harvest"] = "dio",
    ) -> tuple[torch.Tensor, int]:
        audio = audio.astype(np.float32)
        # get speaker id
        if isinstance(speaker, int):

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