This paper provides an overview of the AcousticBrainz Genre Task organized as part of theMediaEval 2017 Benchmarking Initiative for Multimedia Evaluation. The task is focused on content-based music genre recognition using genre annotations from multiple sources and large-scale music features data available in the AcousticBrainz database. The goal of our task is to explore how the same music pie...

We are introducing novelty detection, i.e. the automatic identification of new or unknown data not covered by the training data, to the field of music information retrieval. Two methods for novelty detection are evaluated within the context of genre classification based on spectral similarity. Both the method based solely on the similarity information and the one also utilizing genre label info...

Purpose: This article introduces the Special Issue on Genres of Digital Documents. While there are many definitions of genre, most include consideration of the intended communicative purpose, form and sometimes expected content of a document. Most also include the notion of social acceptance, that a document is of a particular genre to the extent that it is recognized as such within a given dis...

Purpose – To introduce the special issue on “Genres of digital documents.” While there are many definitions of genre, most include consideration of the intended communicative purpose, form and sometimes expected content of a document. Most also include the notion of social acceptance, that a document is of a particular genre to the extent that it is recognized as such within a given discourse c...

abstract the present study examined the effect of genre-based tasks on efl learners' speaking performance and probed whether genre-based tasks may empower efl learners to perform better on speaking tests. a further concern of the study was to explore whether the effect of genre-based tasks on speaking ability of efl learners varied across different age groups, i.e. teenagers (13-16 years o...

Existing systems for automatic genre classification follows a supervised framework that extracts genre-specific information from manually-labeled music data and then identifies unknown music data. However, such systems may not be suitable for personal music management, because manually labeling music based on individually-defined genres can be labor intensive and subject to inconsistence from t...

The genre theory has been earlier introduced as a means for analyzing organizational communication. The terms hard and soft information genre have been employed to refer to the extent and explicity of the rules that the genres are enacted by in a particular communication community. People have widely learned to use genres without explicit rules for their purpose, structure, and other features. ...

In this paper we present results of our initial research on genre tagging. We approach the task from information retrieval perspective using a relatively small number of labeled videos in the development set to mine query expansion terms characteristic of each genre. We also investigate which sources of information associated with the videos or extracted from their audio channel, e.g. title, de...

This demonstration illustrates how the methods developed in the MIR community can be used to provide real-time feedback to music users. By creating a genre classifier plugin for a popular media player we present users with relevant information as they play their songs. The plug-in can furthermore be used as a data collection platform. After informed consent from a selected set of users the plug...