Training Hardware and Software

The previous chapter showed that the MLP probability estimation approach appears to be conservative in system resource requirements for the recognition process. In particular, a speech recognizer using MLP-based approaches scales well with more phonetic categories for requirements of storage, memory bandwidth, and numerical computation. This is particularly true when one takes into account the parameter-sharing that occurs in the hidden layer(s) of a continuous input system.