A fixed-point neural network for keyword detection on resource constrained hardware

@article{Shah2015AFN,
  title={A fixed-point neural network for keyword detection on resource constrained hardware},
  author={Mohit Shah and Jingcheng Wang and David Blaauw and Dennis Sylvester and Hun-Seok Kim and Chaitali Chakrabarti},
  journal={2015 IEEE Workshop on Signal Processing Systems (SiPS)},
  year={2015},
  pages={1-6}
}
Keyword detection is typically used as a front-end to trigger automatic speech recognition and spoken dialog systems. The detection engine needs to be continuously listening, which has strong implications on power and memory consumption. In this paper, we devise a neural network architecture for keyword detection and present a set of techniques for reducing the memory requirements in order to make the architecture suitable for resource constrained hardware. Specifically, a fixed-point… CONTINUE READING

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