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Rafael Gonzalez

on 10 December 2013

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Transcript of HMI

Polyphonic HMI: Mixing Music and Math
Chandler Denison, Rafael U. Gonzalez-Barros, Barry Ladizinski, Steven Starkey
Marketing Management Prof. Sunil H. Contractor

HMI Polyphonic Background

AIA Founded in 1988
Artificial Intelligence, Science and Math to solve complex Business Problems

Spectral Deconvolution
Melody, Harmony, Tempo, Pitch, Octave, Beat, Rhythm, Fullness of Sound, Noise, Brilliance, Chord Progression.
After analysis
"Music Universe"

"Music Recommendation Systems"
Best Buy, HMV, Virgin Megastores

Troubling Economic Times
Reluctance Amoung Retailers and hardware providers

Back to the drawing board
Common Mathematical properties between "hit songs"

Past 5 years
Singles Top 40, Billboard Hot 100 to create "Hit Clusters"
Hit Song Science

300,000 to 1,000,000

A&R exec with “good ears”: 10% success rate

HSS score 7 or >: 90% success rate

$600,000 investment
$300 per 10-song LP, 2 hours

HSS Cost
Marketing Cost per Single
Current Human Standard
HSS Analysis
HSS Early Success Stories
If you were Mike McCready, the CEO of Polyphonic,
Which target market- unsigned artists, producer, or
record companies- would you pursue?

What value does Hit Song Science create?
How do you determine value?
What constitutes a success?
What are potential benefits and drawbacks of Hit Song Science for each player in the music industry?
Who stands to gain or lose most from this technology?
How would you market this?

If HSS was around today, how do you think it would fare in today's music industry?
Is HSS more applicable to today's music industry?
Why did it not take off?
Full transcript