The proposed work introduces a new type of auto-tagging task, called "instrument role classification." We discuss why the task is necessary, and further introduce a definition regarding loop based music. We introduce a new dataset for this task, the Freesound Loop Dataset, and benchmark the performance of both neural network and non-neural network based multi-label classification models for six instrument roles
International audienceAutomatic music classification aims at grouping unknown songs in predefined ca...
Instrument recognition is a fundamental task in music information retrieval, yet little has been don...
Music libraries are constantly growing, often tagged in relation to its instrumentation or artist. A...
Many electronic music (EM) genres are composed through the activation of short audio recordings of i...
Many electronic music (EM) genres are composed through the activation of short audio recordings of i...
While the automatic recognition of musical instruments has seen significant progress, the task is st...
Automatic classification of musical instrument is an old research topic in music information retriev...
This paper discusses design and implementation of classifying system for recognition of musical inst...
In this paper we will perform a preliminary exploration on how neural networks can be used for the t...
Although instrument recognition has been thoroughly research, recognition in polyphonic music still ...
Modern keyboards allow a musician to play multiple instruments at the same time by assigning zones—f...
Automatic musical instrument recognition is an important aspect of machine listening. In this projec...
A method for content-based audio classification is presented. In particular we focus on identificati...
Abstract. Human capabilities of recognizing different type of music and grouping them into categorie...
Music loops are essential ingredients in electronic music production, and there is a high demand for...
International audienceAutomatic music classification aims at grouping unknown songs in predefined ca...
Instrument recognition is a fundamental task in music information retrieval, yet little has been don...
Music libraries are constantly growing, often tagged in relation to its instrumentation or artist. A...
Many electronic music (EM) genres are composed through the activation of short audio recordings of i...
Many electronic music (EM) genres are composed through the activation of short audio recordings of i...
While the automatic recognition of musical instruments has seen significant progress, the task is st...
Automatic classification of musical instrument is an old research topic in music information retriev...
This paper discusses design and implementation of classifying system for recognition of musical inst...
In this paper we will perform a preliminary exploration on how neural networks can be used for the t...
Although instrument recognition has been thoroughly research, recognition in polyphonic music still ...
Modern keyboards allow a musician to play multiple instruments at the same time by assigning zones—f...
Automatic musical instrument recognition is an important aspect of machine listening. In this projec...
A method for content-based audio classification is presented. In particular we focus on identificati...
Abstract. Human capabilities of recognizing different type of music and grouping them into categorie...
Music loops are essential ingredients in electronic music production, and there is a high demand for...
International audienceAutomatic music classification aims at grouping unknown songs in predefined ca...
Instrument recognition is a fundamental task in music information retrieval, yet little has been don...
Music libraries are constantly growing, often tagged in relation to its instrumentation or artist. A...