Featured Research

from universities, journals, and other organizations

Semantic Descriptors To Help The Hunt For Music

Date:
January 8, 2006
Source:
IST Results
Summary:
You like a certain song and want to hear other tracks like it, but don't know how to find them? Ending the needle-in-a-haystack problem of searching for music on the Internet or even in your own hard drive is a new audio-based music information retrieval system.

You like a certain song and want to hear other tracks like it, but don't know how to find them? Ending the needle-in-a-haystack problem of searching for music on the Internet or even in your own hard drive is a new audio-based music information retrieval system.

Currently under development by the SIMAC project, it is a major leap forward in the application of semantics to audio content, allowing songs to be described not just by artist, title and genre but by their actual musical properties such as rhythm, timbre, harmony, structure and instrumentation. This allows comparisons between songs to be made and listeners to find little-known tracks that suit their tastes but may otherwise go unnoticed.

"The music world is highly commercial and only the works of the biggest artists are really well known and widely promoted," notes SIMAC project manager Xavier Serra at Barcelona's Pompeu Fabra University. "Something like 10 per cent of music accounts for 90 per cent of music sales, while the remaining 90 per cent accounts for just 10 per cent of sales -- this system could therefore herald a revolution for little-known music and artists."

Technologically, the project has made significant progress toward bridging the so-called 'semantic gap' in audio content. Existing classification systems, such as those used to generate play lists on popular PC media players and MP3 devices, are based on low-level description techniques using text data about the artist, the track, album and genre. Users can find other tracks by the same artist, from the same album or within the same genre but there is no guarantee that the songs will be anything but remotely alike. Alternatively, websites and online stores selling music often provide recommendations to users based on their personal preferences and the past purchases they and other customers have made.

"The 'since you bought this artist, you might also want to buy this one, as other customers with a similar profile did' method is not that effective, however, because there may be similar songs out there but if they haven't been bought that much they won't appear as a recommendation," Serra says.

The SIMAC approach, which incorporates machine learning, signal processing and musical knowledge as well as text retrieval, overcomes these problems by using a technique to describe music by its actual properties and characteristics. The musical facets of songs are analysed and the tracks are automatically tagged by an annotator. This then allows them to be organised based on the similarities between them within a music surfer programme.

"The technique represents a major advancement over the existing methods used by audio software," Serra notes. "It improves the way users can organise, navigate and visualise audio files and how they can interact with music on their audio player, PC or the Internet."

Another component of the system is a music recommender for users to obtain recommendations that really interest them about new or old songs from online stores. Called FoaFing the Music, it uses not only the musical characteristics of songs to recommend similar ones but also the users' profile, their past purchasing history and what has been written about the songs in website news and reviews. It is based on the Friend of a Friend (FoaF) concept that draws on information from thousands of machine-readable Web pages via RSS feeds.

The prototype has drawn "positive feedback" from trial users, according to Serra, and commercial interest in the SIMAC project, which ends in March, is high.

"The system offers evident advantages to users in the way they can find and interact with music, and big benefits to artists, producers and the music content industry as a whole," he notes. "Lesser known artists and small production companies who don't have big promotional budgets should benefit in particular because it will increase their visibility and the accessibility of their content."

The system could also be a boon to the software and consumer electronics industries, Serra predicts, noting that there is extensive interest in employing the annotation and music surfing techniques in Internet music sites, PC software and portable devices.

Project partner Philips is currently developing an MP3 player incorporating audio analysis components and one SIMAC component has already been licensed to mSoft, a US company that will use it to search library music to find authorless tracks and sound effects that cannot be categorised using traditional methods.

"Though we were originally planning to set up a spin-off company to exploit the project results, we're now looking to collaborate with other firms to introduce our technology into existing products and others that are still in development," Serra says.



Story Source:

The above story is based on materials provided by IST Results. Note: Materials may be edited for content and length.


Cite This Page:

IST Results. "Semantic Descriptors To Help The Hunt For Music." ScienceDaily. ScienceDaily, 8 January 2006. <www.sciencedaily.com/releases/2006/01/060106133741.htm>.
IST Results. (2006, January 8). Semantic Descriptors To Help The Hunt For Music. ScienceDaily. Retrieved September 17, 2014 from www.sciencedaily.com/releases/2006/01/060106133741.htm
IST Results. "Semantic Descriptors To Help The Hunt For Music." ScienceDaily. www.sciencedaily.com/releases/2006/01/060106133741.htm (accessed September 17, 2014).

Share This



More Computers & Math News

Wednesday, September 17, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Let's Review Apple's Latest iPhone Reviews

Let's Review Apple's Latest iPhone Reviews

Newsy (Sep. 17, 2014) The tech press has shared its thoughts on the latest iterations of Apple's iPhone. We summarize the reactions to help you decide: iPhone 6 or 6 Plus? Video provided by Newsy
Powered by NewsLook.com
Facebook Reportedly Building Another New Photo Sharing App

Facebook Reportedly Building Another New Photo Sharing App

Newsy (Sep. 17, 2014) Sources tell TechCrunch Facebook is working on Moments, an app for sharing photos with close friends and family. But why develop yet another new app? Video provided by Newsy
Powered by NewsLook.com
What Not To Do When Installing iOS 8

What Not To Do When Installing iOS 8

Newsy (Sep. 17, 2014) Several sites are warning early adopters not to enable Apple’s new iCloud Drive feature during the installation process. Video provided by Newsy
Powered by NewsLook.com
2K Drafts Face-Mapping Tech for New Game

2K Drafts Face-Mapping Tech for New Game

AP (Sep. 17, 2014) "NBA 2K15" is angling for a slam dunk with an innovative new way to put players in the game. Gamers will be able to digitally graft lifelike 3D renditions of their faces onto virtual players using the PlayStation 4 and Xbox One cameras. (Sept. 17) Video provided by AP
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:
from the past week

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