@inproceedings{797ca67dfa004ef4a78ac01978640461,
title = "Alarm Sound Recommendation Based on Music Generating System",
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.",
keywords = "Alarm sound recommendation, Music generation",
author = "Wenhan Han and Xiping Hu",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.; 2nd International Conference on 5G for Future Wireless Networks, 5GWN 2019 ; Conference date: 23-02-2019 Through 24-02-2019",
year = "2019",
doi = "10.1007/978-3-030-17513-9_7",
language = "English",
isbn = "9783030175122",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "86--95",
editor = "Qiang Liu and Zhi Liu and Leung, {Victor C.M.} and Xiping Hu and Haijun Zhang",
booktitle = "5G for Future Wireless Networks - 2nd EAI International Conference, 5GWN 2019, Proceedings",
address = "Germany",
}