Mood-based selection of music collections by speech

Schatter, G.; Kramer, Paul

doi:10.1109/isce.2011.5973826

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Music listeners are looking for new ways to search songs in their music libraries or online music collections not only by title, artist or other keywords, but also by similarity, genre, and mood [15].…”

Section: Overview Of the Problemmentioning

confidence: 99%

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A proposed framework for visualising music mood using texture image

Husain

Shiratuddin

Wong

2013

2013 International Conference on Research and Innovation in Information Systems (ICRIIS)

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-Fairly recently, extensive use of digital music has led to an increase of songs in online music applications and personal music libraries. In large libraries, songs which are not listened to regularly will go unnoticed. There are many ways of browsing and discovering new music. In the field of Music Information Retrieval (MIR), some type of visual form such as colour, avatar, mood picture and album cover to visualise music, have been introduced. In this paper, we propose a framework for visualising music mood using texture images to assist listeners in discovering new songs and artists that might not have been discovered otherwise using conventional means.

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Section: Overview Of the Problemmentioning

confidence: 99%

“…Therefore, a mood-based search provides a more natural way of searching. Music mood has been identified as an important category used by listeners in organising and seeking music [15] [18].…”

Section: Overview Of the Problemmentioning

confidence: 99%

A proposed framework for visualising music mood using texture image

Husain

Shiratuddin

Wong

2013

2013 International Conference on Research and Innovation in Information Systems (ICRIIS)

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On measuring mechanical oscillations using smartphone sensors

Höpfner

Morgenthal

Schirmer

et al. 2013

SIGMOBILE Mob. Comput. Commun. Rev.

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Modern smartphones provide various sensors for measuring physical phenomena in their surroundings. Due to the increased CPU performance and storage space, smartphones become able to process measured data in a more and more complex way. However, different limitations do exist that hamper the usage of smartphones as wirelessly communicating sensor platforms. The research presented in this paper is motivated by a real world application: the measurement of oscillations in the context of building monitoring. We discuss approaches for measuring oscillations using smartphones and analyse their limitations.

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Mood-based selection of music collections by speech

Cited by 2 publications

References 9 publications

A proposed framework for visualising music mood using texture image

A proposed framework for visualising music mood using texture image

On measuring mechanical oscillations using smartphone sensors

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