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Automatic Performance Certification Tool for Digital Multiroom Sound Systems
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Verktyg för automatisk prestandacertifiering av digitala flerrumsljudsystem (Swedish)
Abstract [en]

The company Spotify enables hardware companies to produce sound systems that are capable of playing music via Spotify’s music service. The sound systems are then sold to consumers. In order to guarantee a certain level of quality, the products need to be certified, mainly in regards to performance. This is ideally performed automatically, with the aid of some computer software. In this project, a tool was designed and developed to measure the performance of sound systems, especially those consisting of several loudspeakers, connected via a local area network. The measurements are taken by ordering the sound system to play test tones. The test tones are then recorded, identified and timed by a computer program, by applying a cross-correlation technique, which is otherwise used to perform echo-cancellation among other things. The tool provides improvements and extends the functionality of an existing tool used currently by Spotify.

Abstract [sv]

Företaget Spotify låter företag inom hårdvarubranschen tillverka ljudsystem, som kan spela musik via Spotifys musiktjänst. Ljudsystemen säljs sedan till konsumenter. För att kunna garantera att produkterna möter en viss kvalitétsnivå behöver man certifiera produkterna, främst med avseende på deras prestanda. Detta görs lämpligast automatiskt, med ett datorverktyg. I det här projektet designades och utvecklades ett verktyg för att automatiskt mäta prestandan hos ljudsystem, speciellt sådana som består av flera högtalare, sammanlänkade via ett lokalt datornätverk. Mätningen går till så att ljudsystemet beordras att spela upp testtoner, som sedan spelas in, identifieras och tidmäts av ett datorprogram, med hjälp av krosskorrelationsteknik, som annars används i till exempel ekokancellering. Verktyget erbjuder förbättringar och kompletterar funktionaliteten hos ett befintligt verktyg som för närvarande används på Spotify.

Place, publisher, year, edition, pages
2015. , 56 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-183160OAI: oai:DiVA.org:kth-183160DiVA: diva2:908515
External cooperation
Spotify
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2016-03-02 Created: 2016-03-02 Last updated: 2016-03-02Bibliographically approved

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CiteExportLink to record
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