1 code implementation • 14 Feb 2024 • Pablo Alonso-Jiménez, Leonardo Pepino, Roser Batlle-Roca, Pablo Zinemanas, Dmitry Bogdanov, Xavier Serra, Martín Rocamora
APNet allows prototypes' reconstruction to waveforms for interpretability relying on the nearest training data samples.
1 code implementation • 10 Dec 2023 • Christos Plachouras, Pablo Alonso-Jiménez, Dmitry Bogdanov
Music Information Retrieval (MIR) research is increasingly leveraging representation learning to obtain more compact, powerful music audio representations for various downstream MIR tasks.
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.
1 code implementation • 1 Apr 2021 • Andres Ferraro, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov
Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information.
1 code implementation • 30 Jan 2021 • Andres Ferraro, Yuntae Kim, Soohyeon Lee, Biho Kim, Namjun Jo, Semi Lim, Suyon Lim, Jungtaek Jang, Sehwan Kim, Xavier Serra, Dmitry Bogdanov
We present Melon Playlist Dataset, a public dataset of mel-spectrograms for 649, 091tracks and 148, 826 associated playlists annotated by 30, 652 different tags.
1 code implementation • 26 Aug 2020 • Antonio Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Hsu Wei-Han, Xavier Serra
We present the Freesound Loop Dataset (FSLD), a new large-scale dataset of music loops annotated by experts.
Audio and Speech Processing Sound
7 code implementations • 1 Jun 2020 • Minz Won, Andres Ferraro, Dmitry Bogdanov, Xavier Serra
Recent advances in deep learning accelerated the development of content-based automatic music tagging systems.
Ranked #1 on Music Auto-Tagging on MagnaTagATune (clean)
Music Auto-Tagging Audio and Speech Processing Sound
no code implementations • 16 Mar 2020 • Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons, Xavier Serra
Essentia is a reference open-source C++/Python library for audio and music analysis.
no code implementations • 12 Nov 2019 • Andres Ferraro, Dmitry Bogdanov, Xavier Serra, Jay Ho Jeon, Jason Yoon
Automatic tagging of music is an important research topic in Music Information Retrieval and audio analysis algorithms proposed for this task have achieved improvements with advances in deep learning.
no code implementations • 12 Nov 2019 • Andres Ferraro, Dmitry Bogdanov, Xavier Serra, Jason Yoon
Algorithms have an increasing influence on the music that we consume and understanding their behavior is fundamental to make sure they give a fair exposure to all artists across different styles.
1 code implementation • 28 Mar 2019 • Andrés Ferraro, Dmitry Bogdanov, Xavier Serra
The Spotify Sequential Skip Prediction Challenge focuses on predicting if a track in a session will be skipped by the user or not.