31. The speech recognition apparatus of claim 30 , wherein the acoustic model is an acoustic model further trained using a set of second non-temporally contiguous speech frames from the temporally contiguous speech frames of the training data, the set of first non-temporally contiguous speech frames having one or more different speech frames from the set of second non-temporally contiguous speech frames.
31. The speech recognition apparatus of claim 30 , wherein the acoustic model is an acoustic model further trained using a set of second non-temporally contiguous speech frames from the temporally contiguous speech frames of the training data, the set of first non-temporally contiguous speech frames having one or more different speech frames from the set of second non-temporally contiguous speech frames. 32. The speech recognition apparatus of claim 31 , wherein the processor is further configured to generate the acoustic model by training the acoustic model using the set of first non-temporally contiguous speech frames, extracted by the processor from the temporally contiguous speech frames of the training data, and using the set of second non-temporally contiguous speech frames, extracted by the processor from the temporally contiguous speech frames of the training data.