Publications

A Framework for Speech Recognition Benchmarking

Proc. of Interspeech 2018

Published September 2, 2018

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.

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Research Areas:  AI & Machine Learning Audio