13. The computer-readable storage medium of claim 11 , wherein the operations further comprise: identifying a plurality of decoding processing units operating in parallel, each decoding processing units utilizing a respective final DNN model; providing a same test sample to each of the plurality of decoding processing units operating in parallel, wherein each decoding processing unit generates a respective posterior probability sequence for the same test sample based on the respective final DNN model of the decoding processing unit; and merging the respective posterior probability sequences generated by the plurality of decoding processing units to obtain a recognition result for the same test sample.
13. The computer-readable storage medium of claim 11 , wherein the operations further comprise: identifying a plurality of decoding processing units operating in parallel, each decoding processing units utilizing a respective final DNN model; providing a same test sample to each of the plurality of decoding processing units operating in parallel, wherein each decoding processing unit generates a respective posterior probability sequence for the same test sample based on the respective final DNN model of the decoding processing unit; and merging the respective posterior probability sequences generated by the plurality of decoding processing units to obtain a recognition result for the same test sample. 14. The computer-readable storage medium of claim 13 , wherein merging respective posterior probability sequences generated by the plurality of decoding processing units further comprises: using a respective shared merging weight for all phoneme binding states of each respective posterior probability sequence during the merging of the respective posterior probability sequences generated by the plurality of decoding processing units.