Barcelona, Spain and San Francisco, Calif. – August 8, 2006 - Polyphonic HMI today announced that U.S. Patent 7,081,579 B2 (Method and System for Music Recommendation) was awarded to the Company on July 25th 2006.
The patented software uses a series of complex artificial intelligence algorithms to analyze up to 70 different sonic characteristics in a musical composition, and is then able to sort any collection of digital music based on any combination of similar characteristics.
The characteristics analyzed are those which produce the strongest reaction in terms of human perception, such as melody, tempo, rhythm and range, and how these change over time. This approach enables the creation of “constellations” of music with similar characteristics, even from different genres and styles, enabling fast yet highly individualized music discovery, based on a “music taste test”. This is a key driver for further growth in online music sales.
The award of this patent reinforces the many accolades of the technology that began in 2003 with the New York Times*.
The software technologies covered by this patent are infinitely scaleable and completely automated to enable music retailers, online stores, mobile carriers, broadcasters and music providers of any kind to create uniquely innovative music recommendation and discovery experiences for each consumer. In many respects they are superior next generation technologies, compared to the more traditional “collaborative filtering” approaches in use today. The technologies also enable extremely accurate predictions of the commercial relevance and corresponding market success of potential new releases for artists, record labels, publishers and producers. In this area, the patent covers the technology method and system underlying the Polyphonic HMI product marketed as Hit Song Science (HSS) which compares new digital music files with historical commercially successful songs, to provide an early indication of market potential. In addition the technologies are able to deliver catalogue optimization and instant playlisting tools not previously available to the music industry.
“The award of this patent confirms that in a crowded market space the technology of Music Intelligence Solutions is truly unique, in that it can scale infinitely without human efforts, and can be used for a myriad of essential music-data related applications” said Gerd Leonhard, independent music and media futurist, author, and advisory board member of the company.
Also announced today was the launch of Music Intelligence Solutions (
www.musintelligence.com) a new Group comprising Polyphonic HMI (Spain) and Music Intelligence Solutions (U.S.), with a mission to become the leading global provider of artificial intelligence software for music recommendation and discovery, market potential prediction, and automated music programming. The Company’s new suite of software applications based on the patent will be launched in the fall. Music Intelligence Solutions is headquartered in San Francisco, USA.
“We are delighted to have been awarded this patent as the basis for our expansion” adds Jimena Llopis Executive Chairman of Music Intelligence Solutions. “We are passionate about being at the forefront of enriching music experience in this fast changing industry”.
About Polyphonic HMI
Polyphonic Human Media Interface was founded in 2002 (in Barcelona, Spain) to commercialize and further develop the technology covered by the then pending patent. Having demonstrated the market potential of its product lines, Polyphonic HMI is now expanding through Music Intelligence Solutions.
About Music Intelligence Solutions
Music Intelligence Solutions is a new group comprising Polyphonic HMI (Spain) and Music Intelligence Solutions (U.S.), with a mission to become the leading global provider of artificial intelligence software for music recommendation and discovery, market potential prediction, and automated music programming. Music Intelligence Solutions is headquartered in San Francisco, USA. For more information, visit www.musintelligence.com.
* New York Times Magazine 3rd Annual Year in Ideas (December 14 2003, Section 6, P74)
