LISTSERV mailing list manager LISTSERV 16.0

Help for ARSCLIST Archives


ARSCLIST Archives

ARSCLIST Archives


ARSCLIST@LISTSERV.LOC.GOV


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

ARSCLIST Home

ARSCLIST Home

ARSCLIST  January 2003

ARSCLIST January 2003

Subject:

NYT: Instead of a D.J., a Web Server Names That Tune

From:

Premise Checker <[log in to unmask]>

Reply-To:

Association for Recorded Sound Discussion List <[log in to unmask]>

Date:

Thu, 23 Jan 2003 14:12:26 -0600

Content-Type:

TEXT/PLAIN

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (131 lines)

Instead of a D.J., a Web Server Names That Tune
http://www.nytimes.com/2003/01/23/technology/circuits/23next.html?pagewanted
=all&position=bottom
WHAT'S NEXT

Instead of a D.J., a Web Server Names That Tune

   By ANNE EISENBERG

   A SONG and its name are easily parted, as anyone knows who has
   listened to a tune on the radio and then waited in vain for the
   announcer to identify it.

   Now some companies are using a technology that can name that tune as
   it plays, promptly displaying words like "Take Five by the Dave
   Brubeck Quartet" in text on an Internet radio or cellphone.

   The systems are sensitive enough to identify not only names and
   artists within a vast range of recorded music, but also different
   versions of a piece done by the performers, even when the differences
   are slight.

   At the recent Consumer Electronics Show in Las Vegas, for instance,
   Royal Philips Electronics demonstrated a prototype of an Internet
   radio that was not only capable of naming the band Pearl Jam as its
   music streamed past but also distinguishing a version of a tune that
   it played at a concert in Verona, Italy, from the same tune recorded
   in Milan.

   "To our ears the two versions sound the same," said Ton Kalker, a
   mathematician at Philips Research in Eindhoven, the Netherlands, who
   led the team that developed the rapid identification system. "But the
   technology is sensitive enough to make a distinction."

   The technology that spots the mystery tune in products from Philips
   and other companies is called audio fingerprinting. It is based on the
   premise that every performance of a song has unique audio
   characteristics - for example, a certain relationship of neighboring
   high and low notes over a minuscule slice of time. Represent those
   relationships in numbers, and you have a code that shows a particular
   version of a song, and no other.

   "Audio fingerprinting works by creating a mathematical description of
   some of the unique features of a song," said Dr. Richard Gooch, deputy
   director of technology at the International Federation of the
   Phonographic Industry, a trade organization based in London. The
   fingerprints are stored on a server. When the server is asked to
   identify a tune - for instance, a song playing on Internet radio -
   software matches a snippet of the tune, expressed in code, with the
   whole coded version of the song stored on the server.

   Some companies offer fingerprinting technology to identify not only
   streaming content but the contents of audio files and traditional
   radio broadcasts as well, Dr. Gooch said. His group and the Recording
   Industry Association of America have recently investigated many audio
   fingerprinting systems to see if they might benefit the recording
   industry.

   Dr. Gooch said that the technology stood up even to the most difficult
   conditions - poor loudspeakers, highly compressed streaming files or
   broadcasters who speed up songs slightly to make room for commercials.

   "We've found that even when broadcasters tweak a song or compress it,"
   he said, "so long as you can still hear it, the systems can extract a
   description of unique characteristics in the song," quickly matching
   the description with the database to identify the track.

   The steadily improving technology has been used commercially in
   business applications since at least the early 80's, he said, for
   example, in the music business to identify broadcast performances and
   then pay royalties to rights holders. Given the popularity of digital
   music, consumer applications of the technology are probably
   inevitable, Dr. Gooch said.

   "Audio fingerprinting is accurate, robust and runs in a sensible
   amount of time," he said. "It really works."

   Shazam Entertainment, based in London, already offers British
   consumers an audio fingerprinting service linked to cellphones. Users
   dial the service and then hold their phones up to the tune that is
   playing, say, on the car radio. Shazam has a database with
   fingerprints of 1.6 million tunes. It matches the incoming fingerprint
   with its database and within 30 seconds sends a text message back to
   the phone identifying the song.

   "We have most any popular song that has been recorded," said Philip
   Inghelbrecht, founder of the company and director of its content. "So
   long as the CD is commercially available, we will have it."

   In the future, manufacturers of electronic devices may offer audio
   fingerprinting to people who want to organize music collections stored
   on their hard drives, said Vance Ikezoye, chief executive of Audible
   Magic, a company in Los Gatos, Calif., that offers its own patented
   audio fingerprinting technology. "It's hard to manage music if you
   don't have the correct information for every song in your collection,"
   he said.

   Companies have used different techniques to create the unique code
   that constitutes a fingerprint. At Philips, for example, Dr. Kalker
   said, he and colleagues created the code by breaking each tune into
   10-millisecond snippets. Then they calculated the differences in the
   loudness of adjacent frequencies in the snippet and how those
   differences changed over time. They repeated the process every 10
   milliseconds to extract code over the entire length of the song.

   Then, when an Internet radio detected the song streaming through it,
   it sampled the song and sent the sample along for pattern-matching.
   "The whole process takes about three seconds," he said. "So even a
   dumb AM or FM receiver can tell you a lot about what you are listening
   to."

   Dr. Gooch suggested that fingerprinting systems would eventually be
   common on car radios. "When every car has its own digital audio
   player," he said, "people will want to know the name of the song they
   are listening to displayed on the dashboard."

   Mr. Ikezoye of Audible Magic said that people who used the company's
   system need not worry about violating the rights of music publishers.
   Although Audible Magic maintains a big database of popular copyrighted
   music, he said, the fingerprints are not the actual songs, but
   summaries of factual measurements describing the sound. "The original
   sound can't be reconstructed from the fingerprint," he said, "so
   storing and sharing fingerprints does not represent an infringement of
   the copyright."

   If the technology catches on in consumer applications, radio listeners
   may one day have an antidote to a common problem cited by Cary
   Sherman, president and general counsel of the Recording Industry
   Association of America: "Radios often don't bother to tell listeners
   what they have played," he said simply.

Top of Message | Previous Page | Permalink

Advanced Options


Options

Log In

Log In

Get Password

Get Password


Search Archives

Search Archives


Subscribe or Unsubscribe

Subscribe or Unsubscribe


Archives

March 2023
February 2023
January 2023
December 2022
November 2022
October 2022
September 2022
August 2022
July 2022
June 2022
May 2022
April 2022
March 2022
February 2022
January 2022
December 2021
November 2021
October 2021
September 2021
August 2021
July 2021
June 2021
May 2021
April 2021
March 2021
February 2021
January 2021
December 2020
November 2020
October 2020
September 2020
August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
January 2020
December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
December 2006
November 2006
October 2006
September 2006
August 2006
July 2006
June 2006
May 2006
April 2006
March 2006
February 2006
January 2006
December 2005
November 2005
October 2005
September 2005
August 2005
July 2005
June 2005
May 2005
April 2005
March 2005
February 2005
January 2005
December 2004
November 2004
October 2004
September 2004
August 2004
July 2004
June 2004
May 2004
April 2004
March 2004
February 2004
January 2004
December 2003
November 2003
October 2003
September 2003
August 2003
July 2003
June 2003
May 2003
April 2003
March 2003
February 2003
January 2003

ATOM RSS1 RSS2



LISTSERV.LOC.GOV

CataList Email List Search Powered by the LISTSERV Email List Manager