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#11 Peter Sobot on An Industrial-Strength Audio Search Algorithm

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#11 Peter Sobot on An Industrial-Strength Audio Search Algorithm

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Important: please arrive before 7pm, which is when the front door locks! If you arrive after 7pm, use the keypad beside the outside door and buzz 8882 to be let in.

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Peter will be presenting An Industrial-Strength Audio Search Algorithm (https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf) by Avery Li-Chun Wang.

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This paper introduces the Shazam algorithm, the core algorithm behind the popular Shazam music and audio identification service.
We'll discuss what problems the algorithm solves and how it works quickly and effectively. This talk is fairly high-level, and is aimed at anybody interested in learning how Shazam works, but will be of special interest to those interested in large-scale information retrieval, audio processing or perceptual hashing.

Paper Link: https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf (https://www.ee.columbia.edu/%7Edpwe/papers/Wang03-shazam.pdf)

Doors open at 6:30 pm, presentation will begin at 7:00 pm. There will be food and refreshments provided by Shopify.

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Peter Sobot (http://petersobot.com/) is a software engineer at PagerDuty, where he helps add new functionality to their high-availability alerting platform.

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