A Framework for Speech Recognition Benchmarking

Franck Dernoncourt, Trung Bui, Walter Chang


Over the past few years, the number of APIs for automated speech recognition (ASR) has significantly increased. It is often time-consuming to evaluate how the performance of these ASR systems compare with each other and against newly proposed algorithms. In this paper, we present a lightweight, open source framework that allows users to easily benchmark ASR APIs on the corpora of their choice. The framework currently supports 7 ASR APIs and is easily extendable to more APIs.


Cite as: Dernoncourt, F., Bui, T., Chang, W. (2018) A Framework for Speech Recognition Benchmarking. Proc. Interspeech 2018, 169-170.


@inproceedings{Dernoncourt2018,
  author={Franck Dernoncourt and Trung Bui and Walter Chang},
  title={A Framework for Speech Recognition Benchmarking},
  year=2018,
  booktitle={Proc. Interspeech 2018},
  pages={169--170}
}