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  • Daniel Garcia-Romero, Alan Mccree, Stephen Shum, Niko Brümmer, Carlos Vaquero
  • 2014
In this paper, we present a framework for unsupervised domain adaptation of PLDA based i-vector speaker recognition systems. Given an existing out-of-domain PLDA system, we use it to cluster unla-beled in-domain data, and then use this data to adapt the parameters of the PLDA system. We explore two versions of agglomerative hierarchical clustering that use(More)
This paper introduces Vocaliza, a software application for computer-aided speech therapy in Spanish language. The objective of this application is to help the daily work of the speech therapists that train the linguistic skills of Spanish speakers with different language pathologies. The application works at three levels of language: phonological, semantic(More)
OBJECTIVE The laparoscopic treatment of eventrations and ventral hernias has been little used, although these hernias are well suited to a laparoscopic approach. The objective of this study was to investigate the usefulness of a laparoscopic approach in the surgical treatment of ventral hernias. METHODS Between January 1994 and July 1998, a series of 100(More)
This article presents a low-latency, online speaker diarization system (" who is speaking now? ") based on the repeated execution of a GPU-optimized, highly efficient offline diarization system (" who spoke when "). The system fulfills all requirements of the diarization task, i.e., it does not require any a priori information about the input, including(More)
This paper shows the results achieved by the Maximum A Posteriori (MAP) speaker adaptation method in a task of isolated word Automatic Speech Recognition (ASR) system for 6 young speakers with different types of speech pathologies. In this work, the influence of two important variables in speech recognition and speaker adaptation are studied. On one hand,(More)
This paper addresses the problem of speaker segmentation in two speaker telephone conversations, proposing a segmenta-tion approach based on factor analysis and a novel method for intra-session variability compensation to improve segmentation performance. The segmentation system is evaluated on the NIST Speaker Recognition Evaluation 2008 summed channel(More)
Nowadays, the integration of people with cognitive disabilities, especially in the work environment in a growing competitive market, is a difficult task. The TUTOR project is addressed to the development and testing of an Intelligent Tutoring System (ITS). The ITS runs on a handheld device and its aim is to increase the autonomy of people with cognitive(More)
  • Instituto Politécnico, Nacional México, Vaquero Avilés Casco, Carlos, Villalba López, Jesús +11 others
  • 2015
This paper addresses the problem of speaker verification in two speaker conversations, proposing a set of confidence measures to assess the quality of a given speaker segmentation. We study how these measures can be used to estimate the performance of a state-of-the-art speaker verification system, the I3A submission for the core-summed condition in the(More)