A Framework for Speech Recognition Benchmarking

Franck Dernoncourt, Trung Bui and Walter Chang

Abstract:

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.

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

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BiBTeX Entry:

@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} }