Automatic Temporal Alignment of AV Data with Confidence Estimation
In this paper, we propose a new approach for the automatic audio-based temporal alignment with confidence estimation of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is temporally aligned based on ASR-related features with a common master track, recorded by a reference camera, and the corresponding confidence of alignment is estimated. The core of the algorithm is based on perceptual time-frequency analysis with a precision of 10 ms. The results show correct alignment in 99% of cases for a real life dataset and surpass the performance of cross correlation while keeping lower system requirements.
Korchagin_Idiap-RR-40-2009.pdf
openaccess
717.75 KB
Adobe PDF
8d1a0a5eb73efa9d4ce909bd647405b2