Kınay, Orkun and Tekdemir, Mehmet Barış and Gökyılmaz, Göktuğ and Yavuz, Ekmel and Ay, Berk and Balcısoy, Selim (2025) DJ-AI: intelligent playlist sorting and seamless generative transitions. In: 33rd Signal Processing and Communications Applications Conference (SIU), Istanbul, Turkiye
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Official URL: https://dx.doi.org/10.1109/SIU66497.2025.11112407
Abstract
The music listening experience has improved and become more accessible over time with digital playlists and real-time DJ transitions. However, existing systems do not cover fully amateur DJs and end users. Unlike traditional recommendation algorithms, DJ-AI analyzes songs not only based on user preferences but also their musical features to generate optimal sequences and seamless transitions. Graph-based optimization methods have been used for playlist arrangement, while MusicGen and MERT embeddings have been integrated to enhance transition smoothness. Experimental results show that the proposed method improves the listener experience by increasing transition compatibility.
| Item Type: | Papers in Conference Proceedings |
|---|---|
| Uncontrolled Keywords: | Artificial Intelligence; Music Transition; Playlist Optimization |
| Divisions: | Faculty of Engineering and Natural Sciences |
| Depositing User: | Selim Balcısoy |
| Date Deposited: | 29 Sep 2025 10:54 |
| Last Modified: | 29 Sep 2025 10:54 |
| URI: | https://research.sabanciuniv.edu/id/eprint/52573 |
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