Towards Music Captioning: Generating Music Playlist Descriptions
Keunwoo Choi, George Fazekas, Brian McFee, Kyunghyun Cho and, Mark Sandler

TL;DR
This paper introduces a novel method for automatically generating descriptive captions for music playlists by analyzing audio content and applying natural language processing, aiding user discovery and playlist understanding.
Contribution
It presents a new approach called music captioning that combines audio analysis with NLP to generate playlist descriptions, a task not extensively explored before.
Findings
Effective integration of audio content analysis and NLP for playlist description generation
Improved understanding of playlist themes through generated captions
Potential enhancement of music recommendation systems
Abstract
Descriptions are often provided along with recommendations to help users' discovery. Recommending automatically generated music playlists (e.g. personalised playlists) introduces the problem of generating descriptions. In this paper, we propose a method for generating music playlist descriptions, which is called as music captioning. In the proposed method, audio content analysis and natural language processing are adopted to utilise the information of each track.
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Taxonomy
TopicsMusic and Audio Processing · Video Analysis and Summarization · Speech Recognition and Synthesis
