Luis Javier Rodríguez-Fuentes

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In the last years, the task of Query-by-Example Spoken Term Detection (QbE-STD), which aims to find occurrences of a spoken query in a set of audio documents, has gained the interest of the research community for its versatility in settings where untranscribed, multilingual and acoustically unconstrained spoken resources, or spoken resources in low-resource(More)
This paper presents an alternative feature set to the traditional MFCC-SDC used in acoustic approaches to Spoken Language Recognition: the log-likelihood ratios of phone posterior probabilities, hereafter Phone Log-Likelihood Ratios (PLLR), produced by a phone recognizer. In this work, an iVector system trained on this set of features (plus dynamic(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)
In a previous work, we introduced the use of log-likelihood ratios of phone posterior probabilities, called Phone LogLikelihood Ratios (PLLR) as features for language recognition under an iVector-based approach, yielding high performance and promising results. However, the high dimensionality of the PLLR feature vectors (with regard to MFCC/SDC features)(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)
This paper presents the main features (design issues, recording setup, etc.) of KALAKA-2, a TV broadcast speech database specifically designed for the development and evaluation of language recognition systems in clean and noisy environments. KALAKA-2 was created to support the Albayzin 2010 Language Recognition Evaluation (LRE), organized by the Spanish(More)
In this paper, we present the task and describe the main findings of the 2014 “Query-by-Example Speech Search Task” (QUESST) evaluation. The purpose of QUESST was to perform language independent search of spoken queries on spoken documents, while targeting languages or acoustic conditions for which very few speech resources are available. This(More)
The Albayzin 2012 Language Recognition Evaluation (Albayzin 2012 LRE) is supported by the Spanish Thematic Network on Speech Technology (RTTH) and organized by the Software Technologies Working Group (GTTS) of the University of the Basque Country, with the key collaboration of Niko Brümmer, from Agnitio Research, South Africa, for defining the evaluation(More)
State of the art language recognition systems usually add a backend prior to the linear fusion of the subsystems scores. The backend plays a dual role. When the set of languages for which models have been trained does not match the set of target languages, the backend maps the available scores to the space of target languages. On the other hand, the backend(More)