Comunicació presentada a: 2017 AES International Conference on Semantic Audio, celebrada del 22 al 24 de juny de 2017 a Erlangen, Alemanya.Key detection in electronic dance music is important for producers and DJ’s who want to mix their tracks harmonically or organise their music collection by tonal content. In this paper, we present an algorithm that improves the performance of an existing method by introducing a system of multiple profiles, addressing difficult minor tracks as well as possibly amodal ones. After the explanation of our method, we use three independent datasets of electronic dance music to evaluate its performance, comparing it to other academic algorithms and commercially available solutions.This research has been par...
In this paper, we propose a system for the automatic estimation of the key of a music track using hi...
The realisation and evaluation of a musical key extraction algorithm that works directly on raw audi...
This paper compares approaches to music key detection based on popular key-profiles with a new key d...
Key detection in electronic dance music is important for producers and DJ’s who want to mix their tr...
Comunicació presentada a la 38th European Conference on IR Research (ECIR 2016), celebrada els dies ...
Comunicació presentada a: the 16th International Society for Music Information Retrieval Conference ...
The Beatport EDM Key Dataset includes 1,486 two-minute sound excerpts from various EDM subgenres, an...
This dissertation revolves around the task of computational key estimation in electronic dance music...
The GiantSteps+ EDM Key Dataset includes 600 two-minute sound excerpts from various EDM subgenres, a...
We present two new data sets for automatic evaluation of tempo estimation and key detection algorith...
This dissertation revolves around the task of computational key estimation in electronic dance music...
The problem of automatic key signature detection has been the focus of much research in recent years...
This project, referred to as KeySeeker, seeks to analyze a digital audio piece for its musical key. ...
Selles töös oleme pakkunud mudeli tonaalsuse avastamiseks, mis on võimeline tegelema muusikaga erine...
We predict drops in electronic dance music (EDM), employing different multimodal approaches. We comb...
In this paper, we propose a system for the automatic estimation of the key of a music track using hi...
The realisation and evaluation of a musical key extraction algorithm that works directly on raw audi...
This paper compares approaches to music key detection based on popular key-profiles with a new key d...
Key detection in electronic dance music is important for producers and DJ’s who want to mix their tr...
Comunicació presentada a la 38th European Conference on IR Research (ECIR 2016), celebrada els dies ...
Comunicació presentada a: the 16th International Society for Music Information Retrieval Conference ...
The Beatport EDM Key Dataset includes 1,486 two-minute sound excerpts from various EDM subgenres, an...
This dissertation revolves around the task of computational key estimation in electronic dance music...
The GiantSteps+ EDM Key Dataset includes 600 two-minute sound excerpts from various EDM subgenres, a...
We present two new data sets for automatic evaluation of tempo estimation and key detection algorith...
This dissertation revolves around the task of computational key estimation in electronic dance music...
The problem of automatic key signature detection has been the focus of much research in recent years...
This project, referred to as KeySeeker, seeks to analyze a digital audio piece for its musical key. ...
Selles töös oleme pakkunud mudeli tonaalsuse avastamiseks, mis on võimeline tegelema muusikaga erine...
We predict drops in electronic dance music (EDM), employing different multimodal approaches. We comb...
In this paper, we propose a system for the automatic estimation of the key of a music track using hi...
The realisation and evaluation of a musical key extraction algorithm that works directly on raw audi...
This paper compares approaches to music key detection based on popular key-profiles with a new key d...