Martínez Villaronga, Adrià Agustí(Universitat Politècnica de València, 2012-07-30)
Al llarg del darrer segle la forma de consumir la informació ha canviat de forma
important. Mentre que a principis del segle XX, tot i l' incipient aparició de la cinematografia,
gairebé tots els mitjans eren escrits, ...
Piqueras Gozalbes, Santiago Romualdo(Universitat Politècnica de València, 2013-07-31)
És difícil negar que visquem en un món d' informació. Els avançaments
científics produïts en les últimes dècades han facilitat l' accés a la mateixa a gran part de la població.
Dins de l'espiral d' informació, i especialment ...
Silvestre Cerdà, Joan Albert; Giménez Pastor, Adrián; Andrés Ferrer, Jesús; Civera Saiz, Jorge; Juan Císcar, Alfonso(Ramos Castro, Daniel, 2012-11-21)
This paper describes the audio segmentation system developed
by the PRHLT research group at the UPV for the Albayzin Audio
Segmentation Evaluation 2012. The PRHLT-UPV audio segmentation
system is based on a conventional ...
Silvestre Cerdà, Joan Albert(Universitat Politècnica de València, 2011-01-10)
El propòsit d'aquest treball és, doncs, millorar les prestacions d'aquests sistemes. S'han plantejat una sèrie de millores que afecten directament al sistema de traducció automàtica subjacent, ja que és aquest el que ...
[EN] Hidden Markov Models (HMMs) are now widely used for off-line text recognition in many languages and, in particular, Arabic. In previous work, we proposed to directly use columns of raw, binary image pixels, which are ...
Alkhoury, Ihab(Universitat Politècnica de València, 2015-07-13)
[EN] Research on Arabic Handwritten Text Recognition (HTR) and Arabic-English Machine Translation (MT) has been usually approached as two independent areas of study. However, the idea of creating one system that combines ...
Giménez Pastor, Adrián(Universitat Politècnica de València, 2014-06-09)
In last years Hidden Markov Models (HMMs) have received significant attention in the
task off-line handwritten text recognition (HTR). As in automatic speech recognition (ASR),
HMMs are used to model the probability of ...
Doetsch, Patrick; Hamdani, Mahdi; Ney, Hermann; Giménez Pastor, Adrián; Andrés Ferrer, Jesús; Juan Císcar, Alfonso(Institute of Electrical and Electronics Engineers (IEEE), 2012-09-18)
—In this paper a vertical repositioning method
based on the center of gravity is investigated for handwriting
recognition systems and evaluated on databases containing
Arabic and French handwriting. Experiments show ...
[ES] Un ingeniero no trabaja aislado del resto del mundo. La competencia en comunicación oral es una
capacidad que debería incluirse tanto en la educación primaria como secundaria, pero vistas las
deficiencias, es necesario ...
Andrés Ferrer, Jesús(Universitat Politècnica de València, 2011-11-28)
In this thesis we present a new estimation algorithm for statistical models which does not incurs in the over-trainning problems. This new estimation techinque, the so-called, constrained domain maximum likelihood estimation ...
[EN] Bernoulli HMMs (BHMMs) have been successfully applied to handwritten text recognition (HTR) tasks such as continuous and isolated handwritten words. BHMMs belong to the generative model family and, hence, are usually ...
Giménez Pastor, Adrián; Andrés Ferrer, Jesús; Juan Císcar, Alfonso; Serrano Martinez Santos, Nicolas(Institute of Electrical and Electronics Engineers (IEEE), 2011-09-18)
Bernoulli-based models such as Bernoulli mixtures
or Bernoulli HMMs (BHMMs), have been successfully applied
to several handwritten text recognition (HTR) tasks which
range from character recognition to continuous and ...
Gascó Mora, Guillem; Rocha Sánchez, Martha Alicia; Sanchis Trilles, Germán; Andrés Ferrer, Jesús; Casacuberta Nolla, Francisco(Association for Computational Linguistics, 2012-04-23)
Nowadays, there are large amounts of data
available to train statistical machine translation
systems. However, it is not clear
whether all the training data actually help
or not. A system trained on a subset of such
huge ...
Alfaro Cid, Eva; Andrés Ferrer, Jesús; Montalva Subirats, José Miguel; Pérez de los Cobos Cassinello, Marta(Universidad Politécnica de Valencia, 2013-05-06)
[ES] En el nuevo marco de Enseñanza Superior Europeo la evaluación ha pasado de ser una
herramienta de control del alumno a una parte más del proceso de aprendizaje. De hecho, una
buena evaluación debe estar alineada con ...
Explicit length modelling has been previously explored in statistical pattern recognition with successful results. In this paper, two length models along with two parameter estimation methods for statistical machine ...
[EN] Explicit length modelling has been previously explored in statistical pattern recognition with successful
results. In this paper, two length models along with two parameter estimation methods and two
alternative ...
[EN] Hidden Markov Models (HMMs) are now widely used for off-line handwriting recognition in many lan-
guages. As in speech recognition, they are usually built from shared, embedded HMMs at symbol level,
where state-conditional ...
Martínez-Villaronga, Adrià; Del Agua Teba, Miguel Angel; Silvestre Cerdà, Joan Albert; Andrés Ferrer, Jesús; Juan, Alfons(Springer Verlag (Germany), 2014)
With the spread of MOOCs and video lecture repositories it is more important than ever to have accurate methods for automatically transcribing video lectures. In this work, we propose a simple yet effective language model ...
Martínez Villaronga, Adrià Agustí(Universitat Politècnica de València, 2014-04-23)
[ES] En este trabajo proponemos un método de adaptación de modelos de lenguaje a charlas
docentes en el contexto de la transcripción automática de videos docentes.
Examinaremos diferentes variaciones de la técnica de ...
Martínez-Villaronga, Adrià; Del Agua Teba, Miguel Angel; Andrés Ferrer, Jesús; Juan Císcar, Alfonso(IInstitute of Electrical and Electronics Engineers (IEEE), 2013)
Videolectures are currently being digitised all over the world for its enormous value as reference resource. Many of these lectures are accompanied with slides. The slides offer a great opportunity for improving ASR systems ...