Modifying Amazon’s Alexa ASR Grammar and Lexicon — A Case Study

Hassan Alam, Aman Kumar, Manan Vyas, Tina Werner, Rachmat Hartono


In this proof-of-concept study we build a tool that modifies the grammar and the dictionary of an Automatic Speech Recognition (ASR) engine. We evaluated our tool using Amazon’s Alexa ASR engine. The experiments show that with our grammar and dictionary modification algorithms in the military domain, the accuracy of the modified ASR went up significantly — from 20/100 correct to 80/100 correct.


Cite as: Alam, H., Kumar, A., Vyas, M., Werner, T., Hartono, R. (2017) Modifying Amazon’s Alexa ASR Grammar and Lexicon — A Case Study. Proc. Interspeech 2017, 3439-3440.


@inproceedings{Alam2017,
  author={Hassan Alam and Aman Kumar and Manan Vyas and Tina Werner and Rachmat Hartono},
  title={Modifying Amazon’s Alexa ASR Grammar and Lexicon — A Case Study},
  year=2017,
  booktitle={Proc. Interspeech 2017},
  pages={3439--3440}
}