Publication

Automatic Time Skew Detection and Correction

2011
Conference Papers

Abstract

In this paper, we propose a new approach for the automatic time skew detection and correction for multisource audiovisual data, recorded by different cameras/recorders during the same event. All recorded data are successfully tested for potential time skew problem and corrected based on ASR-related features. The core of the algorithm is based on perceptual time-quefrency analysis with a precision of 10 ms. The results show correct time skew detection and elimination in 100% of cases for a real life dataset of 32 broken sessions and surpass the performance of fast cross correlation while keeping lower system requirements.

Official source

https://infoscience.epfl.ch/entities/publication/af8312aa-fc57-40ff-8afd-c5d51e7ac043

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2011
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/af8312aa-fc57-40ff-8afd-c5d51e7ac043

About this result

Related concepts (22)

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In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statistics it usually refers to the degree to which a pair of variables are linearly related. Familiar examples of dependent phenomena include the correlation between the height of parents and their offspring, and the correlation between the price of a good and the quantity the consumers are willing to purchase, as it is depicted in the so-called demand curve.

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Automatic Time Skew Detection and Correction

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