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20172022
most citedA Deep Multimodal Approach for Cold-start Music Recommendation

80 citations · 332 across the 29 of their papers we have counts for

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5 papers · 1 filter

eess.AS20202 cited

The Freesound Loop Dataset and Annotation Tool

Antonio Ramires, Frederic Font, Dmitry Bogdanov +7

Music loops are essential ingredients in electronic music production, and there is a high demand for pre-recorded loops in a variety of styles. Several commercial and community dat…

eess.AS20202 cited

TIV.lib: an open-source library for the tonal description of musical audio

António Ramires, Gilberto Bernardes, Matthew E. P. Davies +1

In this paper, we present TIV.lib, an open-source library for the content-based tonal description of musical audio signals. Its main novelty relies on the perceptually-inspired Ton…

eess.AS202047 cited

Evaluation of CNN-based Automatic Music Tagging Models

Minz Won, Andres Ferraro, Dmitry Bogdanov +1

Recent advances in deep learning accelerated the development of content-based automatic music tagging systems. Music information retrieval (MIR) researchers proposed various archit…

eess.AS2020

TensorFlow Audio Models in Essentia

Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons +1

Essentia is a reference open-source C++/Python library for audio and music analysis. In this work, we present a set of algorithms that employ TensorFlow in Essentia, allow predicti…

eess.AS2019

Neural Percussive Synthesis Parameterised by High-Level Timbral Features

António Ramires, Pritish Chandna, Xavier Favory +2

We present a deep neural network-based methodology for synthesising percussive sounds with control over high-level timbral characteristics of the sounds. This approach allows for i…