Now showing items 1-8 of 8

  • Emergence of linguistic laws in human voice 

    González Torre, Iván; Luque Serrano, Bartolo; Lacasa, Lucas; Luque, Jordi; Hernández Fernández, Antonio (Macmillan Publishers, 2017-03-08)
    Article
    Open Access
    Linguistic laws constitute one of the quantitative cornerstones of modern cognitive sciences and have been routinely investigated in written corpora, or in the equivalent transcription of oral corpora. This means that ...
  • Improving i-Vector and PLDA based speaker clustering with long-term features 

    Woubie, Abraham; Luque, Jordi; Hernando Pericás, Francisco Javier (International Speech Communication Association (ISCA), 2016)
    Conference report
    Restricted access - publisher's policy
    i-vector modeling techniques have been successfully used for speaker clustering task recently. In this work, we propose the extraction of i-vectors from short-and long-term speech features, and the fusion of their PLDA ...
  • 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 ...
  • Multimodal identification and localization of users in a smart environment 

    Salah, Albert Ali; Morros Rubió, Josep Ramon; Luque, Jordi; Segura Perales, Carlos; Hernando Pericás, Francisco Javier; Ambekar, Onkar; Schouten, Ben; Pauwels, Eric (2008-09)
    Article
    Open Access
    Detecting the location and identity of users is a first step in creating contextaware applications for technologically-endowed environments. We propose a system that makes use of motion detection, person tracking, face ...
  • Short- and long-term speech features for hybrid HMM-i-vector based speaker diarization system 

    Zewoudie, Abraham Woubie; Luque, Jordi; Hernando Pericás, Francisco Javier (2016)
    Conference lecture
    Open Access
    i-vectors have been successfully applied over the last years in speaker recognition tasks. This work aims at assessing the suitability of i-vector modeling within the frame of speaker diarization task. In such context, a ...
  • Simultaneous speech detection with spatial features for speaker diarization 

    Zelenak, Martin; Segura Perales, Carlos; Luque, Jordi; Hernando Pericás, Francisco Javier (2012-02)
    Article
    Restricted access - publisher's policy
    Simultaneous speech poses a challenging problem for conventional speaker diarization systems. In meeting data, a substantial amount of missed speech error is due to speaker overlaps, since usually only one speaker label ...
  • The L2F - UPC Speaker Recognition System for NIST SRE 2010 

    Abad, Alberto; Luque, Jordi; Trancoso, Isabel; Hernando Pericás, Francisco Javier (2011)
    Conference lecture
    Open Access
    This document describes the joint submission of the INESC-ID’s Spoken Language Systems Laboratory (L 2 F) and the TALP Research Center from the Technical University of Catalonia (UPC) to the 2010 NIST Speaker Recognition ...
  • Using voice-quality measurements with prosodic and spectral features for speaker diarization 

    Zewoudie, Abraham Woubie; Luque, Jordi; Hernando Pericás, Francisco Javier (International Speech Communication Association (ISCA), 2015)
    Conference lecture
    Restricted access - publisher's policy
    Jitter and shimmer voice-quality measurements have been successfully used to detect voice pathologies and classify different speaking styles. In this paper, we investigate the usefulness of jitter and shimmer voice ...