1 code implementation • 16 Nov 2023 • Ilaria Manco, Benno Weck, Seungheon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, Juhan Nam
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.
no code implementations • 17 Oct 2023 • Hendrik Vincent Koops, Gianluca Micchi, Ilaria Manco, Elio Quinton
Computational harmony analysis is important for MIR tasks such as automatic segmentation, corpus analysis and automatic chord label estimation.
1 code implementation • 25 Aug 2022 • Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas
In this work, we explore cross-modal learning in an attempt to bridge audio and language in the music domain.
1 code implementation • 8 Dec 2021 • Ilaria Manco, Emmanouil Benetos, Elio Quinton, Gyorgy Fazekas
To address this question, we design a multimodal architecture for music and language pre-training (MuLaP) optimised via a set of proxy tasks.
1 code implementation • 24 Apr 2021 • Ilaria Manco, Emmanouil Benetos, Elio Quinton, Gyorgy Fazekas
Content-based music information retrieval has seen rapid progress with the adoption of deep learning.