Ritassida M. Djiguimde
Ph.D. Applied Linguistics
Associate Professor English
Department of Modern Languages
Recipient SAU Research Grant
Effectiveness of AI Pronunciation Apps
Menu
Discussion
All AI Pronunciation Apps follow a similar format:
- They provide a pronunciation input for the user to replicate.
- Users pronounce the input, producing an output.
- Speech recognition software evaluates the output against the desired standard pronunciation.
- Feedback is given on mispronounced segmental features (individual phonemes).
These apps are highly effective for improving segmental features.
These apps also perform well in addressing suprasegmental features (stress, rhythm, intonation, and pauses).
- All apps provide a predetermined input for pronunciation practice.
- Users cannot provide their own input, which limits customization and adaptability.
- Learners often show progress in the app’s controlled practice environment.
- However, newly acquired pronunciation skills frequently fail to transfer to spontaneous speech situations.
- Reinforcing information processing models can significantly aid advanced learners.
- Learners can begin by practicing newly acquired pronunciation in controlled processing.
- Gradually, they can transition from controlled processing to automatic processing.
- This shift supports long-term retention and mastery of pronunciation skills.
Copyright © 2024 Djiguimde. All rights reserved.
- SAU Research Grant
- Application
- Fall 2042