Recent Submissions

  • Model-based processing for acoustic scene analysis 

    Nadeu Camprubí, Climent; Chakraborty, Rupayan; Wolf, Martin (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
    Restricted access - publisher's policy
    The analysis of acoustic scenes requires several functionalities, being perhaps recognition (speech, speaker, other acoustic events) and spatial localization the two most relevant ones. For a reduced invasiveness, ...
  • Stay-Away, protecting sensitive applications from performance interference 

    Rameshan, Navaneeth; Navarro Moldes, Leandro; Monte Moreno, Enrique; Vlassov, Vladimir (Association for Computing Machinery (ACM), 2014)
    Conference report
    Restricted access - publisher's policy
    While co-locating virtual machines improves utilization in resource shared environments, the resulting performance interference between VMs is difficult to model or predict. QoS sensitive applications can suffer from ...
  • Tourism demand forecasting with neural network models: different ways of treating information 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (John Wiley & Sons, 2014-07-21)
    Article
    Restricted access - publisher's policy
    This paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi-layer perceptron, a radial basis function and an Elman network. We find that ...
  • Jitter and Shimmer measurements for speaker diarization 

    Zewoudie, Abraham Woubie; Luque, Jordi; Hernando Pericás, Francisco Javier (2014)
    Conference report
    Open Access
    Jitter and shimmer voice quality features have been successfully used to characterize speaker voice traits and detect voice pathologies. Jitter and shimmer measure variations in the fundamental frequency and amplitude ...
  • Global impostor selection for DBNs in multi-session i-vector speaker recognition 

    Ghahabi Esfahani, Omid; Hernando Pericás, Francisco Javier (2014-11-19)
    Article
    Restricted access - publisher's policy
    An effective global impostor selection method is proposed in this paper for discriminative Deep Belief Networks (DBN) in the context of a multi-session i-vector based speaker recognition. The proposed method is an ...
  • Hybrid machine translation: integration of linguistics and statistics : editorial 

    Rodríguez Fonollosa, José Adrián; Ruiz Costa-jussà, Marta (Elsevier, 2015-07)
    Article
    Restricted access - publisher's policy
  • Occurrence of solar flares viewed with GPS: statistics and fractal nature 

    Monte Moreno, Enrique; Hernández Pajares, Manuel (2014-11-01)
    Article
    Restricted access - publisher's policy
    In this paper we describe the statistical properties of the EUV solar flux sudden variation. The solar flux variation is modeled as a time series characterized by the subsolar Vertical Total Electron Content double difference ...
  • Deep belief networks for i-vector based speaker recognition 

    Ghahabi Esfahani, Omid; Hernando Pericás, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
    Restricted access - publisher's policy
    The use of Deep Belief Networks (DBNs) is proposed in this paper to model discriminatively target and impostor i-vectors in a speaker verification task. The authors propose to adapt the network parameters of each speaker ...
  • Latest trends in hybrid machine translation and its applications 

    Rodríguez Fonollosa, José Adrián; Ruiz Costa-jussà, Marta (Elsevier, 2015-07)
    Article
    Open Access
    This survey on hybrid machine translation (MT) is motivated by the fact that hybridization techniques have become popular as they attempt to combine the best characteristics of highly advanced pure rule or corpus-based MT ...
  • The strategic impact of META-NET on the regional, national and international level 

    Rehm, Georg; Uszkoreit, Hans; Ananiadou, Sophia; Bel, Nuria; Moreno Bilbao, M. Asunción (2014)
    Conference lecture
    Open Access
    This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and ...

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