8. A speech recognition learning system, the system comprising: at least one processor; and at least one storage device, operatively connected to the at least one processor and storing: at least one training corpus comprising a plurality of training pairs that represent a varied vocabulary from one or more speakers, each training pair comprising a speech input and a text input corresponding to the speech input; and instructions that, when executed by the at least processor, cause the at least one processor to perform a method for generating a pronunciation sequence conversion model, the method comprising: for each training pair, receiving a training pair from the at least one training corpus; extracting an audio signal vector from the speech input of the training pair; and applying an audio signal conversion model to the audio signal vector to generate a converted audio signal vector; and adapting an acoustic model based on a plurality of converted audio signal vectors to generate an adapted acoustic model, wherein the adapted acoustic model is used to generate a pronunciation sequence during a speech recognition operation.
8. A speech recognition learning system, the system comprising: at least one processor; and at least one storage device, operatively connected to the at least one processor and storing: at least one training corpus comprising a plurality of training pairs that represent a varied vocabulary from one or more speakers, each training pair comprising a speech input and a text input corresponding to the speech input; and instructions that, when executed by the at least processor, cause the at least one processor to perform a method for generating a pronunciation sequence conversion model, the method comprising: for each training pair, receiving a training pair from the at least one training corpus; extracting an audio signal vector from the speech input of the training pair; and applying an audio signal conversion model to the audio signal vector to generate a converted audio signal vector; and adapting an acoustic model based on a plurality of converted audio signal vectors to generate an adapted acoustic model, wherein the adapted acoustic model is used to generate a pronunciation sequence during a speech recognition operation. 16. The speech recognition learning system of claim 8 , wherein the adapted acoustic model is generated by adapting a plurality of extracted audio signal vectors from a plurality of speech inputs.