Featured Research

from universities, journals, and other organizations

Millions of tracks at the fingertips of music researchers

Date:
August 15, 2013
Source:
Suomen Akatemia (Academy of Finland)
Summary:
Online digital music services, such as Last.fm and Spotify, contain semantic information produced by users worldwide about millions of music tracks. A new method now enables exploiting this vast source of information in order to understand the processes behind expressions of musical moods.

The attached figure shows certain tags and tracks in a two-dimensional emotion model.
Credit: Pasi Saari / University of Jyväskylä

Online digital music services, such as Last.fm and Spotify, contain semantic information produced by users worldwide about millions of music tracks. A new method now enables exploiting this vast source of information in order to understand the processes behind expressions of musical moods.

Related Articles


Doctoral student Pasi Saari and Professor Tuomas Eerola, researchers at the Academy of Finland’s Finnish Centre of Excellence in Interdisciplinary Music Research at University of Jyväskylä, investigated how reliable information social tags, user-generated free-form markings, convey about moods expressed by music. They also developed a new method based on semantic modeling to predict listener ratings of musical moods with online data. The study enables a giant leap forward in the size of research data – past research has exploited data in the size of few dozens to few hundreds of tracks.

The new method was developed using tags related to over one million tracks obtained from popular Last.fm service. About one fourth of the tracks contained mood tags, such as happy, chill-out, or powerful. A model resulting from several analysis stages could predict the semantic meaning of tags and tracks.

In a listening test 59 participants rated moods, such as energy/calmness, positive/negative, tension and sentimentality, in six hundred tracks from different genres. These ratings were then compared to the semantic estimates obtained with the new method.

Users of online social music services use tags often when searching or marking new interesting music, tracks from a certain genre, or to match the music to their own mood. Tags provide excellent material for music applications, since exploiting vast sources of information is a key to develop applications that can understand music more efficiently than before.

– When receiving an audio file, a computer application could identify the moods expressed by music, genre and performer, or generate automatically a playlist for a certain person in a certain mood or for training music at gym, Pasi Saari describes.

Moods related to music are considered one of the main reasons why music is listened and performed in the first place. This is why understanding musical moods is important. Large-scale information helps to solve a problem of how to manage a music collection that contains all tracks ever recorded.


Story Source:

The above story is based on materials provided by Suomen Akatemia (Academy of Finland). Note: Materials may be edited for content and length.


Journal Reference:

  1. Pasi Saari, Tuomas Eerola. Semantic Computing of Moods Based on Tags in Social Media of Music. IEEE Transactions on Knowledge and Data Engineering, 2013; 1 DOI: 10.1109/TKDE.2013.128

Cite This Page:

Suomen Akatemia (Academy of Finland). "Millions of tracks at the fingertips of music researchers." ScienceDaily. ScienceDaily, 15 August 2013. <www.sciencedaily.com/releases/2013/08/130815084400.htm>.
Suomen Akatemia (Academy of Finland). (2013, August 15). Millions of tracks at the fingertips of music researchers. ScienceDaily. Retrieved November 23, 2014 from www.sciencedaily.com/releases/2013/08/130815084400.htm
Suomen Akatemia (Academy of Finland). "Millions of tracks at the fingertips of music researchers." ScienceDaily. www.sciencedaily.com/releases/2013/08/130815084400.htm (accessed November 23, 2014).

Share This


More From ScienceDaily



More Mind & Brain News

Sunday, November 23, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Could Your Genes Be The Reason You're Single?

Could Your Genes Be The Reason You're Single?

Newsy (Nov. 21, 2014) — Researchers in Beijing discovered a gene called 5-HTA1, and carriers are reportedly 20 percent more likely to be single. Video provided by Newsy
Powered by NewsLook.com
Milestone Birthdays Can Bring Existential Crisis, Study Says

Milestone Birthdays Can Bring Existential Crisis, Study Says

Newsy (Nov. 21, 2014) — Researchers find that as people approach new decades in their lives they make bigger life decisions. Video provided by Newsy
Powered by NewsLook.com
You Don't Have To Be Alcohol Dependent To Need Treatment

You Don't Have To Be Alcohol Dependent To Need Treatment

Newsy (Nov. 21, 2014) — A study by the Centers for Disease Control and Prevention found 9 out of 10 excessive drinkers in the country are not alcohol dependent. Video provided by Newsy
Powered by NewsLook.com
Your Complicated Job Might Keep Your Brain Young

Your Complicated Job Might Keep Your Brain Young

Newsy (Nov. 20, 2014) — Researchers at the University of Edinburgh found the more complex your job is, the sharper your cognitive skills will likely be as you age. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:

Strange & Offbeat Stories

 

Health & Medicine

Mind & Brain

Living & Well

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins