Automatic Speech Recognition with Dr. Shannon McCrocklin

In this episode, Dr. Shannon McCrocklin breaks down the evolving role of Automatic Speech Recognition (ASR) tools in L2 pronunciation learning, discussing free vs. paid platforms, human intelligibility alignment, and AI integration.

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Derwing, T. M., Munro, M. J., & Carbonaro, M. (2000). Does popular speech recognition software work with ESL speech?. TESOL quarterly, 34(3), 592-603.

Evers, K., & Chen, S. (2021). Effects of automatic speech recognition software on pronunciation for adults with different learning styles. Journal of Educational Computing Research, 59(4), 669-685.

Johnson, C., Cardoso, W., Zuercher, B., Brannen, K., & Springer, S. (2024). Assessing pronunciation using dictation tools: The use of Google Voice Typing to score a pronunciation placement test. Journal of Second Language Pronunciation, 10(1), 10-34.

McCrocklin, S., Edalatishams, I., & Humaidan, A. (2026). ASR‐Dictation Accuracy for Second Language Speech: Programs, Tasks, and Language Backgrounds. Human Behavior and Emerging Technologies, 2026(1), 5762328.

McCrocklin, S., & Levis, J. (2026). Automatic speech recognition and pronunciation learning. Language Teaching, 59(3), 293-309.

Ngo, T. T. N., Chen, H. H. J., & Lai, K. K. W. (2024). The effectiveness of automatic speech recognition in ESL/EFL pronunciation: A meta-analysis. ReCALL, 36(1), 4-21.

Wohlert, H. S. (1984). Voice input/output speech technologies for German language learning. Die Unterrichtspraxis/Teaching German, 17(1), 76-84.

https://gliglish.com/

https://elsaspeak.com/en

https://press.georgetown.edu/Book/A-Practical-Guide-to-Speech-Technologies-for-Second-Language-Learning