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CS 410 Individual Presentation 1 1800-whats my song PowerPoint Presentation
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CS 410 Individual Presentation 1 1800-whats my song

CS 410 Individual Presentation 1 1800-whats my song

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CS 410 Individual Presentation 1 1800-whats my song

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  1. CS 410 Individual Presentation 1 1800-whats my song By: Reda Elgourbi

  2. You hear a song that you like. • You don’t know the artist’s name. • You don’t know the title of the song.

  3. 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.

  4. Server contains a large database of songs. • Users add songs not already in the database.

  5. the algorithm generates a unique fingerprint. • If server finds a match. Song info is returned.

  6. Algorithm to acoustically fingerprint songs is used. • Reliable Acoustic fingerprints are forensic in their accuracy.

  7. 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.

  8. Will especially target teenagers. • 64 % of teenagers with cell phones regularly send text messages!

  9. 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.

  10. 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.

  11. 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.

  12. Thank you 1800-whats my song.

  13. Thank You All for listening.

  14. 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