Semester of Graduation
Electrical and Computer Engineering
First Major Professor
Master of Science (MS)
Computer Engineering, Human Computer Interaction
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.
Embargo Period (admin only)
Simon, Benjamin, "Evaluating Cloud-Based Speech-to-Text Services" (2021). Creative Components. 886.
Available for download on Friday, July 21, 2023