A Micropower Analog VLSI HMM State Decoder for Wordspotting

Part of Advances in Neural Information Processing Systems 9 (NIPS 1996)

Authors

John Lazzaro, John Wawrzynek, Richard P. Lippmann

Abstract

We describe the implementation of a hidden Markov model state decoding system, a component for a wordspotting speech recogni(cid:173) tion system. The key specification for this state decoder design is microwatt power dissipation; this requirement led to a continuous(cid:173) time, analog circuit implementation. We characterize the operation of a 10-word (81 state) state decoder test chip.