Abstract
In this paper, we propose an alarm sound recommendation system based on music generation. The recommendation system will be integrated with an application named iSmile, which is a sleep analysis and depression detection application built by the authors in previous work. We use a music generating algorithm based on GAN (Generative Adversarial Nets) as the core of the recommendation system. To the best of our knowledge, it is the first application recommending real-time generated music rather than existing music. In the following part of the paper, we detail the algorithm, the experiment we conducted and the result analysis. The result shows that the recommendation system can effectively generate and recommend proper alarm sound according to the emotion prediction.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Han, W., Hu, X. (2019). Alarm Sound Recommendation Based on Music Generating System. In: Leung, V., Zhang, H., Hu, X., Liu, Q., Liu, Z. (eds) 5G for Future Wireless Networks. 5GWN 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-17513-9_7
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DOI: https://doi.org/10.1007/978-3-030-17513-9_7
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