A Micropower Analog VLSI HMM State Decoder for Wordspotting
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.
Cite
Text
Lazzaro et al. "A Micropower Analog VLSI HMM State Decoder for Wordspotting." Neural Information Processing Systems, 1996.Markdown
[Lazzaro et al. "A Micropower Analog VLSI HMM State Decoder for Wordspotting." Neural Information Processing Systems, 1996.](https://mlanthology.org/neurips/1996/lazzaro1996neurips-micropower/)BibTeX
@inproceedings{lazzaro1996neurips-micropower,
title = {{A Micropower Analog VLSI HMM State Decoder for Wordspotting}},
author = {Lazzaro, John and Wawrzynek, John and Lippmann, Richard P},
booktitle = {Neural Information Processing Systems},
year = {1996},
pages = {727-733},
url = {https://mlanthology.org/neurips/1996/lazzaro1996neurips-micropower/}
}