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CS 410 Individual Presentation 1 1800-whats my song

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CS 410 Individual Presentation 1 1800-whats my song By: Reda Elgourbi. You hear a song that you like. You don’t know the artist’s name. You don’t know the title of the song.

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Presentation Transcript
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CS 410

Individual Presentation 1

1800-whats my song

By: Reda Elgourbi

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You hear a song that you like.
  • You don’t know the artist’s name.
  • You don’t know the title of the song.
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Call 1800-what’s my song
  • Hold your cell phone near audio source for about 50 seconds.
  • Hang up
  • Receive a message within the next 10 minutes with all the song’s info.
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Server contains a large database of songs.
  • Users add songs not already in the database.
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the algorithm generates a unique fingerprint.
  • If server finds a match. Song info is returned.
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Algorithm to acoustically fingerprint songs is used.
  • Reliable Acoustic fingerprints are forensic in their accuracy.
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Alternatively, you can:
  • Record the song on your cell phone.
  • Transfer it to your computer
  • Go to: www.1800whatsmysong.com
  • Upload it
  • Get a message on your cell phone with song’s info.
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Will especially target teenagers.
  • 64 % of teenagers with cell phones regularly send text messages!
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COST
  • Pay 20 cents per message received and song identified.
  • Will be charged directly to your cell phone bill at the end of the month.
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Cons of solution:
  • At the time you hear the song, you might be too

Busy to record it.

  • Even with all the technological advances, a lot of people still don’t have audio recorders on their cell phones.
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Pros of solution:
  • Fast, easy, and very affordable.
  • 1800-what’s my song will help connect artists with their audiences and allow music providers to introduce music to more and more people.
sources
SOURCES
  • http://www.newsline.umd.edu/business/specialreports/teentechnology/textmessaging051706.htm
  • http://h10025.www1.hp.com/ewfrf/wc/document?docname=c00250629&lc=en&cc=us&dlc=en&product=472247
  • http://en.wikipedia.org/wiki/Acoustic_fingerprint
  • http://en.wikipedia.org/wiki/Speech_recognition
  • http://www.relatable.com/tech/trm.html
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