Automatic prominent syllable detection with machine learning classifiers. - David O. Johnson; Okim Kang (Int. J. Speech Technol., 2015)

Automatic prosodic tone choice classification with Brazil's intonation model. - David O. Johnson; Okim Kang (Int. J. Speech Technol., 2016)

Improved automatic English proficiency rating of unconstrained speech with multiple corpora. - David O. Johnson; Okim Kang; Romy Ghanem (Int. J. Speech Technol., 2016)

Comparison of algorithms to divide noisy phone sequences into syllables for automatic unconstrained English speaking proficiency scoring. - David O. Johnson; Okim Kang (Artif. Intell. Rev., 2019)

Mobile-Assisted Prosody Training for Limited English Proficiency: Learner Background and Speech Learning Pattern. - Kevin Hirschi; Okim Kang; Catia Cucchiarini; John H. L. Hansen; Keelan Evanini; Helmer Strik (INTERSPEECH, 2020)

Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment. - Mu Yang; Kevin Hirschi; Stephen Daniel Looney; Okim Kang; John H. L. Hansen (INTERSPEECH, 2022)

Assessment of Non-Native Speech Intelligibility using Wav2vec2-based Mispronunciation Detection and Multi-level Goodness of Pronunciation Transformer. - Ram C. M. C. Shekar; Mu Yang; Kevin Hirschi; Stephen D. Looney; Okim Kang; John H. L. Hansen (INTERSPEECH, 2023)

What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model. - Mu Yang; Ram C. M. C. Shekar; Okim Kang; John H. L. Hansen (INTERSPEECH, 2023)