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MMToC: A Multimodal Method for Table of Content Creation in Educational Videos.

, , и . ACM Multimedia, стр. 621-630. ACM, (2015)

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Sachin Deshmukh

Ravindra Deshmukh

Manjeet Vinayakrao Deshmukh

Mandar Vinayakrao Deshmukh

Marion Fishel Deshmukh

 

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