11. The system of claim 7 , further comprising at least one selected from a group consisting of: providing the adapted DNN model as a web service and incorporating the adapted DNN model in an application that is distributed to a client device.
7. A system for adapting and personalizing a deep neural network (DNN) model for automatic speech recognition (ASR), comprising: a memory for storing executable program code; and a processor, functionally coupled to the memory, the processor being responsive to computer-executable instructions contained in the program code and operative to: receive at least one utterance comprising a plurality of speech features for one or more speakers from one or more ASR tasks; determine an adapted DNN model from the DNN model, the DNN model comprising a plurality of unadapted matrices and the adapted DNN model comprising a plurality of adapted matrices; calculate a difference between the plurality adapted matrices and the plurality of unadapted matrices to determine a plurality of delta matrices; apply a decomposition process to the plurality of delta matrices; convert the plurality of delta matrices into a subset of one or more small matrices; and store the subset of the one or more small matrices within an adapted DNN model as a speaker dependent feature set.