This working paper describes the system proposed by Telefonica research for the task of spoken voice search within the Mediaeval benchmarking evaluation campaign in 2011. The proposed system is based exclusively on a pattern matching approach, which is able to perform a query-by-example search with no prior knowledge of the acoustics or language being spoken. The system’s main contributions are the usage of a novel method to obtain speaker independent acoustic features to later perform the matching through a DTWlike matching algorithm. Obtained results are promising and show, in our opinion, the potential of such class of techniques for this task.
['Xavier Anguera']
Telefonica System for the Spoken Web Search Task at Mediaeval 2011