Luis Javier Rodríguez-Fuentes

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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)
This paper briefly describes the system presented by the Working Group on Software Technologies (GTTS) 1 of the University of the Basque Country (UPV/EHU) to the Spoken Web Search task at MediaEval 2012. The GTTS system apply state-of-the-art phone decoders to search for approximate matchings of the N-best decodings of a spoken query in the phone lattice of(More)
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)
The Albayzin 2010 Language Recognition Evaluation (LRE), carried out from June to October 2010, was the second effort made by the Spanish/Portuguese community for benchmarking language recognition technology. As the Albayzin 2008 LRE, it was coordinated by the Software Technology Working Group of the University of the Basque Country, with the support of the(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)
Most common approaches to phonotactic language recognition deal with several independent phone decod-ings. These decodings are processed and scored in a fully uncoupled way, their time alignment (and the information that may be extracted from it) being completely lost. Recently, a new approach to phonotactic language recognition has been presented [1],(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)