As if we didn't know that already, but:

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http://mi2n.com/press.php3?press_nb=48160

February 24, 2003 (Barcelona, Spain)— Have you ever wondered why some
songs burn up and down the charts in record time while others have a
slower climb, tend to linger and then slowly fall? Have you ever wondered
why some songs that seem to have "hit" written all over them do not
perform as expected while others seem to come out of nowhere and become
monster successes? Science would say the reasons can be found in the
mathematical properties of the music and which mathematical patterns
produce certain feelings and reactions to what we hear.

Polyphonic HMI, based in Barcelona, Spain has developed an artificial
intelligence application that helps music labels determine the hit
potential of music prior to its release.  The new application is to music
what x-rays are to medicine, allowing labels to see mathematical patterns
and structures in music that until now have been hidden. Not being able
to see these patterns in the past has meant that a lot of money gets
spent on promoting singles and albums that do not have what it takes.

The company is working with major labels in both the US and the UK and
expects to play a major role in reversing the downward music sales trend.

The application is called Hit Song Science (HSS) and independent and
major labels alike began experimenting with the service in the third and
forth quarters of 2002 to learn how to best apply the technology and new
information to their respective artists and businesses.  Now the company
is working at various levels within all five major label groups. Some of
the labels already using or exploring the service include Universal UK,
Sony, RCA, J,(of the BMG group) Innocent,(of the EMI group) and Liquid 8
(independent). The company expects most labels to begin using the service
this year.

"Because the technology is so new and potentially revolutionary, at first
we were greeted with natural skepticism but as label presidents have
gotten personally involved in using the reports we generate on their
music that skepticism has gone away. We're helping labels increase
productivity by selling more music to more people and augment the
efficiency of their marketing spend." says Polyphonic HMI's CEO Mike
McCready.

Muff Winwood of Sony UK adds, "The kind of information Polyphonic HMI
provides in their pre-release reports helps reduce uncertainty before
releasing a given song."

Polyphonic also has begun to experiment with the technology at the
production level of music creation. By teaming up with veteran artists
and producers the application adds to the creative process by isolating
the important attributes of the music which will allow new sounds and
styles to flourish. One of these producers is Peter Swartling. Peter
headed the local BMG A&R department in Sweden for 7 years and is now a
consultant to Sony Music. His artists and projects have garnered over 20
Grammy awards.

Peter, now based in New York City says, "We, as producers have an ability
to "hear" what sounds right and what doesn't. Making hit songs is what we
do. However I think we can always become more precise and that is what
we're doing with Hit Song Science".

Polyphonic's HSS analyzes the underlying mathematical patterns in
unreleased music and compares them to the patterns in recent hit songs. 
The new technology can isolate individual patterns in key aspects of the
music that humans detect and that help determine whether or not they like
a given song. For example, the dictionary describes melody as a series of
notes strung together in a meaningful pattern. But determining what is
"meaningful" is a very human and very subjective experience. This
technology is able to detect what those melody patterns are as well as
decipher patterns in other aspects of the music such as beat, harmony,
pitch, octave, fullness of sound, brilliance and chord progression. 

The application can recognize hidden market trends and consumer taste
patterns as they evolve over time as well as complex intricacies of
recorded music only understood at very deep levels of the human
consciousness. Most people can't explain why they like a certain song
beyond saying they like blues, or a good beat and a strong melody. This
technology can actually pinpoint what complex patterns are most
attractive to a given listener or audience. Music labels are using the
technology to better allocate promotion spending, accurately predict
sales and anticipate the market.

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Yup, more and more homogenized CRAP.
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