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Topic Transition in Educational Videos Using Visually Salient Words.

, , and . EDM, page 289-296. International Educational Data Mining Society (IEDMS), (2015)

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An event-based acoustic-phonetic approach for speech segmentation and E-set recognition., , and . ICASSP, page 4164. IEEE, (2002)Nucleus-level clustering for word-independent syllable stress classification., and . Speech Commun., 51 (12): 1224-1233 (2009)Modified phase opponency based solution to the speech separation challenge., and . INTERSPEECH, ISCA, (2006)Acoustic stress detection for improved navigation of educational videos., , and . INTERSPEECH, page 1882-1883. ISCA, (2015)Acoustic-phonetic approach for automatic evaluation of spoken grammar., and . INTERSPEECH, page 2614-2617. ISCA, (2008)LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos., , , , and . EDM, page 215-222. International Educational Data Mining Society (IEDMS), (2016)Acoustic-phonetic speech parameters for speaker-independent speech recognition., , and . ICASSP, page 593-596. IEEE, (2002)Role of nucleus based context in word-independent syllable stress classification., , and . ICASSP, page 5712-5715. IEEE, (2011)Discovering Concept Maps from Textual Sources., , and . EDM, page 624-625. International Educational Data Mining Society (IEDMS), (2015)Automatic evaluation of spoken english fluency., , , and . ICASSP, page 4829-4832. IEEE, (2009)