Loading [a11y]/accessibility-menu.js
A parallelized dynamic programming approach to zero resource spoken term discovery | IEEE Conference Publication | IEEE Xplore

A parallelized dynamic programming approach to zero resource spoken term discovery


Abstract:

Zero resource spoken term discovery in continuous speech is the discovery of repeated patterns in acoustic signals without any higher level linguistic information. These ...Show More

Abstract:

Zero resource spoken term discovery in continuous speech is the discovery of repeated patterns in acoustic signals without any higher level linguistic information. These patterns are then combined to define the compositional units of that speech. We describe and implement an algorithm that tags similar subsequences among sequences of acoustic features. We then discuss the use of this algorithm as part of a complete spoken term discovery system. Our implementation leverages parallelization via modern GPUs, allowing many independent comparisons to be executed concurrently. This parallelization enables the described system to analyze large data sets in tractable time frames. The accuracy and performance of our approach are compared to existing approaches as well as human transcriptions on two corpora of continuous natural speech. Our system improved on published results for multiple metrics.
Date of Conference: 05-09 March 2017
Date Added to IEEE Xplore: 19 June 2017
ISBN Information:
Electronic ISSN: 2379-190X
Conference Location: New Orleans, LA, USA

References

References is not available for this document.