2cfa9aa576ae7544f76e66854edd304690a5822b,paderbox/speech_enhancement/beamformer_wrapper.py,,get_multi_source_bf_vector_from_masks,#Any#Any#Any#Any#Any#Any#Any#,334

Before Change

                f"np.max(np.abs(beamforming_vector)) = {value}"
            )
    else:
        beamforming_vector = np.stack(list(
            pb.speech_enhancement.get_single_source_bf_vector(
                method,
                target_psd_matrix=target_psd[:, k, :, :],
                noise_psd_matrix=interference_psd[:, k, :, :],
            ) for k in range(K)
        ), axis=1)

    return beamforming_vector

After Change

                denominator_matrix_for_ban, denominator_matrix_for_bf
            )

        beamforming_vector = list()
        for k in range(K - 1):
            if denominator_matrix_for_bf is None:
                denominator_matrix = None
            elif denominator_matrix_for_bf == "noise":
                denominator_matrix = target_psd[:, -1, :, :]
            elif denominator_matrix_for_bf == "interference":
                denominator_matrix = interference_psd[:, k, :, :]

            beamforming_vector.append(
                pb.speech_enhancement.get_single_source_bf_vector(
                    method,
                    target_psd_matrix=target_psd[:, k, :, :],
                    noise_psd_matrix=denominator_matrix,
                )
            )

        beamforming_vector = np.stack(beamforming_vector, axis=1)

    return beamforming_vector

Instances