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Now Playing: Continuous low-power music recognition

Dominik Roblek
James David Lyon
Julian James Odell
Matt Sharifi
Mihajlo Velimirović
NIPS 2017 Workshop: Machine Learning on the Phone


Existing music recognition applications require both user activation and a connection to a server that performs the actual recognition. In this paper we present a low power music recognizer that runs entirely on a mobile phone and automatically recognizes music without requiring any user activation. A small music detector runs continuously on the mobile phone’s DSP (digital signal processor) chip and only wakes main the processor when it is confident that music is present. Once woken the detector on the main processor is provided with an 8s buffer of audio which is then fingerprinted and compared to the stored fingerprints in the on-device fingerprint database of over 70000 songs.

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