Automatic Pronunciation Assessment--A Review

YE Kheir, A Ali, SA Chowdhury - ar** comparison for pronunciation errors
C Richter, J Guðnason - ICASSP 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
We propose using a dynamic time war** (DTW) difference-to-sum ratio to classify speech
as either matching or diverging from a linguistic standard. This measure effectively …

[PDF][PDF] End-to-end Mispronunciation Detection with Simulated Error Distance.

Z Zhang, Y Wang, J Yang - INTERSPEECH, 2022 - isca-archive.org
With the development of deep learning, the performance of the mispronunciation detection
model has improved greatly. However, the annotation for mispronunciation is quite …

A universal ordinal regression for assessing phoneme-level pronunciation

S Mao, F Soong, Y **a, J Tien - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
The efficacy and robustness of Ordinal Regression (OR) in assessing speech pronunciation
for language learning at phrase level has been shown before. However, for assessing …