Degree Type

Creative Component

Semester of Graduation

Summer 2021

Department

Electrical and Computer Engineering

First Major Professor

Alexander Stoytchev

Degree(s)

Master of Science (MS)

Major(s)

Computer Engineering, Human Computer Interaction

Abstract

This study evaluated the accuracy of cloud-based speech recognition systems developed by Apple, Google, Amazon, and Microsoft. Testing was performed using the TIDIGITS data set, the most popular benchmark for small-vocabulary speech recognition. The results demonstrated that most cloud-based systems had surprisingly low accuracy, with the exception of Microsoft. The low recognition accuracy of these systems suggests that the rapid transition to large-vocabulary speech recognition services may have come at the cost of sacrificing performance on small-vocabulary tasks.

Copyright Owner

Simon, Benjamin

File Format

PDF

Embargo Period (admin only)

7-21-2023

1

Available for download on Friday, July 21, 2023

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