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Classification of Accented English Using CNN Model Trained on Amplitude Mel-Spectrograms.

, , , , , and . INTERSPEECH, page 3669-3673. ISCA, (2022)

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Accounting standards. Pitman, London, 2. ed., reprinted edition, (1989)Automatic Detection and Visualization of Information Structure in English., , and . NLPIR, page 200-204. ACM, (2022)Bringing Linguistics to a Programming Class: A Problem of Automatic Text Generation for Describing Data Series., and . SoMeT, volume 355 of Frontiers in Artificial Intelligence and Applications, page 621-630. IOS Press, (2022)Using Simulation for Strategic Blood Supply Chain Design in the Canadian Prairies., and . SIMULTECH, page 345-352. SciTePress, (2016)Prosody Training Mobile Application: Early Design Assessment and Lessons Learned., , , , , and . IDAACS, page 735-740. IEEE, (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)Using Analytical Methods and Simulation to Estimate the Magnitude of Errors in Calculations for Recovery in Washed Red Blood Cells., , and . SIMULTECH, page 340-345. SCITEPRESS, (2023)Classification of Accented English Using CNN Model Trained on Amplitude Mel-Spectrograms., , , , , and . INTERSPEECH, page 3669-3673. ISCA, (2022)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)Inflation accounting, and . Longman professional education series Longman, London u.a., (1984)