Simulating Shazam: Acoustic Fingerprinting for Music Identification A Comprehensive Study on Developing a Song Recognition System

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dc.contributor.authorGyllenhammar, Rasmus
dc.contributor.authorLennernäs, Christoffer
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.departmentChalmers University of Technology / Department of Electrical Engineeringen
dc.contributor.examinerDurisi, Giuseppe
dc.contributor.supervisorAliakbari, Javad
dc.date.accessioned2024-06-20T07:36:49Z
dc.date.available2024-06-20T07:36:49Z
dc.date.issued2024
dc.date.submitted
dc.description.abstractAbstract This report explains the implementation, design and testing of the core functionalities of Shazam. Shazam identifies songs by capturing short audio segments and matches them against a sizeable database. The program is coded in Python and with MySQL for the database. To perform tests, both audio files and a microphone are used to catch the samples of the songs. The results of the project are deemed successful as it can detect songs from a 10 second sample of a song. In conclusion, the project demonstrates a strong foundation to continue developing the project to simulate Shazam.
dc.identifier.coursecodeEENX20
dc.identifier.urihttp://hdl.handle.net/20.500.12380/307953
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.titleSimulating Shazam: Acoustic Fingerprinting for Music Identification A Comprehensive Study on Developing a Song Recognition System
dc.type.degreeExamensarbete på kandidatnivåsv
dc.type.degreeBachelor Thesisen
dc.type.uppsokM2
local.programmeElektroteknik 180 hp (högskoleingenjör)
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