ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

A low-power hardware search architecture for speech recognition

Patrick J. Bourke, Rob A. Rutenbar

High-performance speech recognition is extremely computationally expensive, limiting its use in the mobile domain. We therefore propose a low-power hardware speech recognition architecture for mobile applications, exploiting the orders-of-magnitude efficiency improvements dedicated hardware can offer. Our system is based on the Sphinx 3.0 software recognizer developed at Carnegie Mellon University, capable of large-vocabulary, speaker-independent, continuous, real-time speech recognition. We show through cycle-accurate simulation that our hardware, targeting the backend search stage of recognition, is capable of recognizing speech from a 5,000 word vocabulary 1.3 times faster than real-time, within an approximately 200mW power budget.

doi: 10.21437/Interspeech.2008-545

Cite as: Bourke, P.J., Rutenbar, R.A. (2008) A low-power hardware search architecture for speech recognition. Proc. Interspeech 2008, 2102-2105, doi: 10.21437/Interspeech.2008-545

  author={Patrick J. Bourke and Rob A. Rutenbar},
  title={{A low-power hardware search architecture for speech recognition}},
  booktitle={Proc. Interspeech 2008},