Luis Javier Rodríguez-Fuentes

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In this paper, we describe the " Spoken Web Search " Task, which is being held as part of the 2013 MediaEval campaign. The purpose of this task is to perform audio search in multiple languages and acoustic conditions, with very few resources being available for each individual language. This year the data contains audio from nine different languages and is(More)
This paper evaluates the performance of the twelve primary systems submitted to the evaluation on speaker verification in the context of a mobile environment using the MOBIO database. The mobile environment provides a challenging and realistic test-bed for current state-of-the-art speaker verification techniques. Results in terms of equal error rate (EER),(More)
In this paper, we describe the " Query by Example Search on Speech Task " (QUESST, formerly SWS, " Spoken Web Search "), held as part of the MediaEval 2014 evaluation campaign. As in previous years, the proposed task requires performing language-independent audio search in a low resource scenario. This year, the task has been designed to get as close as(More)
A new database consisting of 227 dialogues in Spanish was annotated with disfluencies. Then a detailed analysis of the annotations was carried out. The database had been recorded according to the well known Wizard of Oz paradigm. Seventy-five speakers were given each one three different scenarios to make queries about timetables, prices and other conditions(More)
In this paper, we describe the “Spoken Web Search” Task, which was held as part of the 2012 MediaEval benchmark evaluation campaign. The purpose of this task was to perform audio search with audio input in four languages, with very few resources being available. Continuing in the spirit of the 2011 SpokenWeb Search Task, which used speech from(More)
As part of the MediaEval 2013 benchmark evaluation campaign , the objective of the Spoken Web Search (SWS) task was to perform Query-by-Example Spoken Term Detection (QbE-STD) using audio queries in a low-resource setting. After two successful editions and a continuously growing interest in the scientific community, a special effort was made in SWS 2013 to(More)
The combination of several heterogeneous systems is known to provide remarkable performance improvements in verification and detection tasks. In Spoken Term Detection (STD), two important issues arise: (1) how to define a common set of detected candidates, and (2) how to combine system scores to produce a single score per candidate. In this paper, a(More)