An Industrial Strength Audio Search Algorithm

By Avery Wang. International Society for Music Information Retrieval Conference, 2003

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Ghost Talk: Mitigating EMI Signal Injection Attacks against Analog Sensors (2013, methodology): “We use the Speech Transmission Index [28] and the Shazam service based on spectral fingerprinting [29] to evaluate the strength and fidelity of injected signals.”
Detection and Classification of Acoustic Scenes and Events (2015, background): “Elsewhere, advances in Music Information Retrieval (MIR) have brought us systems that can transcribe the notes and chords in music [3], or identify the track title and artist from a low-quality sound snippet [4].”
Earthquake detection through computationally efficient similarity search (2015, background): “…in massive data sets ( 23 ); applications include identifying similar files in a large file system ( 24 ), finding near-duplicate Web pages ( 25 ), detecting plagiarism in documents ( 26 ), and recognizing similar audio clips for music identification ( 27 ), such as in the Shazam mobile app ( 28 ).”