The influence of personal values on music taste: Towards value-based music recommendations

The feld of recommender systems has a lot to gain from the feld of psychology. Indeed, many psychology researchers have investigated relations between models that describe humans and consumption preferences. One example of this is personality, which has been shown to be a valid construct to describe people. As a consequence, personality-based...

Are Nearby Neighbors Relatives?: Testing Deep Music Embeddings

Deep neural networks have frequently been used to directly learn representations useful for a given task from raw input data. In terms of overall performance metrics, machine learning solutions employing deep representations frequently have been reported to greatly outperform those using hand-crafted feature representations. At the same time,...

One deep music representation to rule them all? A comparative analysis of different representation learning strategies

Inspired by the success of deploying deep learning in the fields of Computer Vision and Natural Language Processing, this learning paradigm has also found its way into the field of Music Information Retrieval. In order to benefit from deep learning in an effective, but also efficient manner, deep transfer learning has become a common approach...

Detecting Socially Significant Music Events using Temporally Noisy Labels

In this paper, we focus on event detection over the timeline of a music track. Such technology is motivated by the need for innovative applications such as searching, non-linearaccess and recommendation. Event detection over the timeline requires time-code level labels in order to train machine learning dels. We use timed comments from...

Towards Seed-Free Music Playlist Generation: Enhancing collaborative Filtering with Playlist Title Information

In this paper, we propose a hybrid Neural Collaborative Filtering (NCF) model trained with a multi-objective function to achieve a music playlist generation system. The proposed approach focuses particularly on the cold-start problem (playlists with no seed tracks) and uses a text encoder employing a Recurrent Neural Network (RNN) to exploit...

Multifaceted Approaches to Music Information Retrieval

Music is a multifaceted phenomenon: beyond addressing our auditory channel, the consumption of music triggers further senses. Also in creating and communicating music, multiple modalities are at play. Next to this, it allows for various ways of interpretation: the same musical piece can be performed in different valid ways, and audiences can in...

Comparative analysis of orchestral performance recordings: An image-based approach

Traditionally, the computer-assisted comparison of multiple performances of the same piece focused on performances on single instruments. Due to data availability, there also has been a strong bias towards analyzing piano performances, in which local timing, dynamics and articulation are important expressive performance features. In this paper,...

Put the concert attendee in the spotlight: A user-centered design and development approach for classical concert applications

As the importance of real-life use cases in the music information retrieval (MIR) field is increasing, so does the importance of understanding user needs. The development of innovative real-life applications that draw on MIR technology requires a user-centered design and development approach that assesses user needs and aligns them with...

Exploring microblog activity for the prediction of hyperlink anchors in television broadcasts

In this paper, we present a social media based approach to finding anchors in video archives. We use social activity on Twitter to find topics on which people have questions about in order to select suitable anchors. The experiments were carried out on the MediaEval Search and Anchoring in Video Archives Task (SAVA) data set, consisting of 68...

Mass Media Musical Meaning: Opportunities from the Collaborative Web

In the digital domain, music is usually studied from a positivist viewpoint, focusing on general ‘objective’ music descriptors. In this work, we strive to put music in a more social and cultural context, looking into ways to unify data analysis methods with thoughts from the humanities on musical meaning and significance. More specifically, we...

A tablet app to enrich the live and post-live experience of classical concerts

This demonstration paper describes a tablet application that is developed to make classical concerts more accessible and more enjoyable for a broader audience. The app offers interactive visualizations of a symphony’s instrumentation and its score. It also offers timed background information about the piece, the composer, and the historical...

Cover song retrieval: A comparative study of system component choices

The Cover Song Retrieval (CSR) problem has received considerable attention in the MIREX 2006-2008 evaluation sessions. While the reported performance figures provide a general idea about the strengths of the submitted systems, it is not clear what actually causes the reported performance of a certain system. In other words, the question...