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#shazam#audiofingerprinting#spectrogram
PWLTO#11 – Peter Sobot on An Industrial-Strength Audio Search Algorithm
PapersWeLove
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- One of the most-watched uploads on Papers We Love, a conference or university channel Hallway lists. Nobody has recommended it in the communities yet, so it ranks below community picks.
- Presented by Peter Sobot, software engineer
Intermediate. Assumes working knowledge.
10K views11 years ago
Computer scienceGraphics and audioAlgorithmsAudio and DSP
Peter Sobot explains the core audio fingerprinting and search algorithm behind Shazam based on Avery Li-Chun Wang's paper.
Peter will be presenting An Industrial-Strength Audio Search Algorithm by Avery Li-Chun Wang. Paper: ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf Meetup: meetup.com/Papers-We-Love-Toronto/events/224721193/ 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: ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf Doors open at pm, presentation will begin at pm. There will be food and refreshments provided by Shopify. Peter Sobot is a software engineer at PagerDuty, where he helps add new functionality to their high-availability alerting platform.Why it's here
A top upload from a listed channelPapers We Love is on Hallway's list of conference and university channels, and this upload is one of its most-watched talks or lectures. Nobody has recommended it in the communities yet, so it ranks below community picks.