Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
To improve the accuracy in terms of precision and recall of an audio information retrieval system we have created a domainspecific ontology (a collection of key concepts and their...
We present RDFGrowth, an algorithm that addresses a specific yet important scenario: large scale, end user targeted, metadata exchange P2P applications. In this scenario, peers per...
Giovanni Tummarello, Christian Morbidoni, Joackin ...
Music information processing has become very important due to the ever-growing amount of music data from emerging applications. In this demonstration, we present a novel approach ...
Spoken corpora provide a critical resource for research, development and evaluation of spoken dialog systems. This paper describes the telephone spoken dialog corpus for Polish cr...