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/}
}