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Audio Processing Algorithms for Multimedia Application on Smartphone
KTH, School of Electrical Engineering (EES), Signal Processing.
2011 (English)Student paper other, 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The objective of the thesis work was to develop a synchronization service that delivers frame-accurate timestamp annotations for media broadcasting over smartphone devices. The proposed method, in the thesis, to achieve such service is to use a matched filter based on the recorded stream sent by the smartphone to the server. Thereafter, a test of reliability is used to determine how often a synchronous interaction is incorrectly identified. The rate at which this occurs is referred to as false alarm rate. The proposed algorithm is based on filtering techniques that imply the use of fast convolution algorithms based on Fast Fourier Transforms. Therefore, the most computationally demanding operation is the FFT. Therfore, an efficient implementation of the FFT using single instruction multiple data SIMD is discussed in the report. The project has developed a prototype synchronization audio algorithm which leads, in average, to a maximum error in the time delay estimation that equals 5.5 ms and a rate of false alarm of 2.5%.

Place, publisher, year, edition, pages
2011. , 53 p.
EES Examensarbete / Master Thesis, XR-EE-SB 2011:014
Keyword [en]
Matched filter, correlation, fast convolution, FFT split radix, tensor product
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-44039OAI: diva2:449162
Available from: 2011-11-22 Created: 2011-10-19 Last updated: 2012-04-19Bibliographically approved

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