A voice data processing method, comprising: obtaining an I-Vector vector of each of multiple voice samples, and determining a target seed sample in the multiple voice samples (S22); respectively calculating a cosine distance between an I-Vector vector of the target seed sample and an I-Vector vector of a target remaining voice sample, the target remaining voice sample being a voice sample other than the target seed sample in the multiple voice samples (S24); and filtering a target voice sample from the multiple voice samples or the target remaining voice sample at least according to the cosine distance, a cosine distance between an I-Vector vector of the target voice sample and the I-Vector vector of the target seed sample being higher than a first predetermined threshold (S26), characterized in that the filtering the target voice sample from the multiple voice samples or the target remaining voice sample at least according to the cosine distance comprises: determining whether a quantity of target remaining voice samples is greater than or equal to a fourth predetermined threshold; and filtering the target voice sample from the target remaining voice sample according to the cosine distance when the quantity of target remaining voice samples is greater than or equal to the fourth predetermined threshold; or filtering the target voice sample from the multiple voice samples according to the cosine distance and the cosine distance between the I-Vector vector of the target voice sample and the I-Vector vector of the target seed sample when the quantity of target remaining voice samples is less than the fourth predetermined threshold. obtaining an I-Vector vector of each of multiple voice samples, and determining a target seed sample in the multiple voice samples (S22); respectively calculating a cosine distance between an I-Vector vector of the target seed sample and an I-Vector vector of a target remaining voice sample, the target remaining voice sample being a voice sample other than the target seed sample in the multiple voice samples (S24); and filtering a target voice sample from the multiple voice samples or the target remaining voice sample at least according to the cosine distance, a cosine distance between an I-Vector vector of the target voice sample and the I-Vector vector of the target seed sample being higher than a first predetermined threshold (S26), characterized in that the filtering the target voice sample from the multiple voice samples or the target remaining voice sample at least according to the cosine distance comprises: determining whether a quantity of target remaining voice samples is greater than or equal to a fourth predetermined threshold; and filtering the target voice sample from the target remaining voice sample according to the cosine distance when the quantity of target remaining voice samples is greater than or equal to the fourth predetermined threshold; or filtering the target voice sample from the multiple voice samples according to the cosine distance and the cosine distance between the I-Vector vector of the target voice sample and the I-Vector vector of the target seed sample when the quantity of target remaining voice samples is less than the fourth predetermined threshold. determining whether a quantity of target remaining voice samples is greater than or equal to a fourth predetermined threshold; and filtering the target voice sample from the target remaining voice sample according to the cosine distance when the quantity of target remaining voice samples is greater than or equal to the fourth predetermined threshold; or filtering the target voice sample from the multiple voice samples according to the cosine distance and the cosine distance between the I-Vector vector of the target voice sample and the I-Vector vector of the target seed sample when the quantity of target remaining voice samples is less than the fourth predetermined threshold. <EOS>