9. The computer-implemented method of claim 1 , wherein using the trained multilingual DNN acoustic model in the ASR system comprises outputting probabilities associated with phonetic states of a hidden Markov model based on an acoustic input.
9. The computer-implemented method of claim 1 , wherein using the trained multilingual DNN acoustic model in the ASR system comprises outputting probabilities associated with phonetic states of a hidden Markov model based on an acoustic input. 10. The computer-implemented method of claim 9 , wherein a number of nodes of each language-specific output layer is dependent on a number of phonetic states for a corresponding language of the two or more languages.