Abstract
E-lecturing is becoming more and more used over the World Wide Web. What isn’t actually popular and used, is a good user experience for the student, who has just the video provided from the University. It would be useful to be able to search in the video for the word needed, in order to find the subject directly and without substantial time loss. Moreover, the project will develop a speech recognition service from video to text that can be useful for deaf or poor-hearing students, this means that the system can be used from disability centers of many universities.
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Balzano, W., Pellecchia, C., Balzano, M. (2020). Lectures Retrieval: Improving Students’ E-learning Process with a Search Engine Based on ASR Model. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_95
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