One-touch access to music on mobile devices

Abstract

We present an approach that offers the user a convenient and meaningful way to access her music on a mobile device. By exploiting information on acoustic similarity and community-based music labels, a music collection is automatically structured and described to allow for easy orientation and navigation within the collection. To this end, the complete collection is arranged along a circular playlist path such that similar sounding pieces are grouped together. As a consequence, regions of musical styles emerge. Furthermore, we propose two approaches to derive informative descriptors that are displayed on the different regions, allowing an overview of the whole collection at a glance. For demonstration, we implemented our prototype interface on an Apple iPod.

Exploring the music similarity space on the web

“…In Pampalk et al [2005], as an alternative to generating the space out of the retrieved documents, a predefined dictionary of words is used that are meaningful in the music domain. To cope with different forms of the same word, a stemming algorithm can be used [Celma et al 2006;Schnitzer et al 2007] at the expense of potentially introducing ambiguities. In many cases, words that are very frequent (such as the, I) and thus are assumed to not carry a meaning in the particular domain are removed by using stopword lists.…”

Music Information Retrieval: Recent Developments and Applications

“…To give an example of an existing application that employs a content-based automatic playlist generation approach, Figure 1.4 depicts a screenshot of the Intelligent iPod 13 [246]. Audio features and corresponding similarities are directly extracted from the music collection residing on the mobile device.…”

Music Information Retrieval: Recent Developments and Applications

“…To give an example of an existing application that employs a content-based automatic playlist generation approach, Figure 1.4 depicts a screenshot of the Intelligent iPod 13 [246]. Audio features and corresponding similarities are directly extracted from the music collection residing on the mobile device.…”