Automatic Time Skew Detection and Correction

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.


Presented at:
Proceedings International Conference on Signal Acquisition and Processing, Singapore
Year:
2011
Publisher:
Martigny, Switzerland
Keywords:
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 Record created 2011-02-07, last modified 2018-03-17

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