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CAPTuring Accents: An Approach to Personalize Pronunciation Training for Learners with Different L1 Backgrounds.

, , , , and . SPECOM (2), volume 14339 of Lecture Notes in Computer Science, page 59-70. Springer, (2023)

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Automatic intonation-based keyword extraction from academic discourse., , , , , , and . FedCSIS, volume 15 of Annals of Computer Science and Information Systems, page 165-168. (2018)Study Intonation: Mobile Environment for Prosody Teaching., , , , , and . CYBCONF, page 1-2. IEEE, (2017)PitchKeywordExtractor: Prosody-based Automatic Keyword Extraction for Speech Content., , , , and . FedCSIS, volume 11 of Annals of Computer Science and Information Systems, page 265-269. (2017)Multimodal Modeling of the Mora-timed Rhythm of Japanese and its Application to Computer-assisted Pronunciation Training., , , , and . IIAI-AAI, page 174-179. IEEE, (2023)Urban Sound Classification using Long Short-Term Memory Neural Network., , and . FedCSIS, volume 18 of Annals of Computer Science and Information Systems, page 57-60. (2019)CAPTuring Accents: An Approach to Personalize Pronunciation Training for Learners with Different L1 Backgrounds., , , , and . SPECOM (2), volume 14339 of Lecture Notes in Computer Science, page 59-70. Springer, (2023)Classification of Accented English Using CNN Model Trained on Amplitude Mel-Spectrograms., , , , , and . INTERSPEECH, page 3669-3673. ISCA, (2022)Prosody Training Mobile Application: Early Design Assessment and Lessons Learned., , , , , and . IDAACS, page 735-740. IEEE, (2019)