The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation

• URL: http://arxiv.org/abs/2311.10057v3
• Date: Wed, 22 Nov 2023 21:22:11 GMT
• Title: The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
• Authors: Ilaria Manco, Benno Weck, SeungHeon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, Gy\"orgy Fazekas, Juhan Nam
• Abstract summary: We introduce the Song Describer dataset (SDD), a new crowdsourced corpus of high-quality audio-caption pairs. The dataset consists of 1.1k human-written natural language descriptions of 706 music recordings.
• Score: 18.984512029792235
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce the Song Describer dataset (SDD), a new crowdsourced corpus of high-quality audio-caption pairs, designed for the evaluation of music-and-language models. The dataset consists of 1.1k human-written natural language descriptions of 706 music recordings, all publicly accessible and released under Creative Common licenses. To showcase the use of our dataset, we benchmark popular models on three key music-and-language tasks (music captioning, text-to-music generation and music-language retrieval). Our experiments highlight the importance of cross-dataset evaluation and offer insights into how researchers can use SDD to gain a broader understanding of model performance.

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