We investigate concurrent ‘Lifelog’ audio recordings to locate segments from the same environment. We compare two techniques earlier proposed for pattern recognition in extended audio recordings, namely cross-correlation and a fingerprinting technique. If successful, such alignment can be used as a preprocessing step to select and synchronize recordings before further processing. The two methods perform similarly in classification, but fingerprinting scales better with the number of recordings, while cross-correlation can offer sample resolution synchronization. We propose and investigate the benefits of combining the two. In particular we show that the combination allows sample resolution synchronization and scalability.
|Title of host publication||IEEE Workshop on Machine Learning for Signal Processing, 2008. : MLSP 2008|
|Publication status||Published - 2008|
|Event||2008 IEEE International Workshop on Machine Learning for Signal Processing - Cancún, Mexico|
Duration: 16 Oct 2008 → 19 Oct 2008
|Workshop||2008 IEEE International Workshop on Machine Learning for Signal Processing|
|Period||16/10/2008 → 19/10/2008|