18. The non-transitory computer readable storage medium of claim 16 , wherein the one or more programs comprising instructions, which further cause the device to: collect the plurality of audio samples in the plurality of different languages and labeled data for the plurality of audio samples; obtain a phoneme collection for each of the plurality of different languages; map phonemes from each phoneme collection to phonemes in the IPA so as to generate the IPA phoneme mapping collection; and wherein the acoustic model is trained based on the collected plurality of audio samples in the plurality of different languages, the collected labeled data for the plurality of audio samples, and the generated IPA phoneme mapping collection.
18. The non-transitory computer readable storage medium of claim 16 , wherein the one or more programs comprising instructions, which further cause the device to: collect the plurality of audio samples in the plurality of different languages and labeled data for the plurality of audio samples; obtain a phoneme collection for each of the plurality of different languages; map phonemes from each phoneme collection to phonemes in the IPA so as to generate the IPA phoneme mapping collection; and wherein the acoustic model is trained based on the collected plurality of audio samples in the plurality of different languages, the collected labeled data for the plurality of audio samples, and the generated IPA phoneme mapping collection. 19. The non-transitory computer readable storage medium of claim 18 , wherein the one or more programs comprising instructions, which further cause the device to: processing the collected plurality of audio samples with a predetermined characteristic extraction protocol so as to obtain a plurality of corresponding audio characteristic sequences; obtaining a characteristic phoneme collection corresponding to the plurality of audio characteristic sequences based on the IPA phoneme mapping collection; training the foreground and background models based on the characteristic phoneme collection and the collected labeled data; and integrating the trained foreground and background models into the acoustic model.