Research Article
Alarm Sound Recommendation Based on Music Generating System
@INPROCEEDINGS{10.1007/978-3-030-17513-9_7, author={Wenhan Han and Xiping Hu}, title={Alarm Sound Recommendation Based on Music Generating System}, proceedings={5G for Future Wireless Networks. Second EAI International Conference, 5GWN 2019, Changsha, China, February 23-24, 2019, Proceedings}, proceedings_a={5GWN}, year={2019}, month={4}, keywords={Music generation Alarm sound recommendation}, doi={10.1007/978-3-030-17513-9_7} }- Wenhan Han
Xiping Hu
Year: 2019
Alarm Sound Recommendation Based on Music Generating System
5GWN
Springer
DOI: 10.1007/978-3-030-17513-9_7
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.
