Search Results - "Casacuberta, F."

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  1. 1

    Probabilistic finite-state machines - part I by Vidal, E., Thollard, F., de la Higuera, C., Casacuberta, F., Carrasco, R.C.

    “…Probabilistic finite-state machines are used today in a variety of areas in pattern recognition, or in fields to which pattern recognition is linked:…”
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    Journal Article
  2. 2

    Probabilistic finite-state machines - part II by Vidal, E., Thollard, F., de la Higuera, C., Casacuberta, F., Carrasco, R.C.

    “…Probabilistic finite-state machines are used today in a variety of areas in pattern recognition or in fields to which pattern recognition is linked. In part I…”
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    Journal Article
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    Computer-assisted translation using speech recognition by Vidal, E., Casacuberta, F., Rodriguez, L., Civera, J., Hinarejos, C.D.M.

    “…Current machine translation systems are far from being perfect. However, such systems can be used in computer-assisted translation to increase the productivity…”
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    Journal Article
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    Median strings for k-nearest neighbour classification by Martı́nez-Hinarejos, C.D., Juan, A., Casacuberta, F.

    Published in Pattern recognition letters (01-01-2003)
    “…Modelling a (large) set of garbled patterns with a prototype is an important issue in pattern recognition. When strings are used as object representations, the…”
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    Journal Article
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    Some approaches to statistical and finite-state speech-to-speech translation by Casacuberta, F., Ney, H., Och, F.J., Vidal, E., Vilar, J.M., Barrachina, S., Garcı́a-Varea, I., Llorens, D., Martı́nez, C., Molau, S., Nevado, F., Pastor, M., Picó, D., Sanchis, A., Tillmann, C.

    Published in Computer speech & language (2004)
    “…Speech-input translation can be properly approached as a pattern recognition problem by means of statistical alignment models and stochastic finite-state…”
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    Journal Article
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    CAT-API Framework Prototypes by Alabau, V, Benedí, J M, Casacuberta, F, Leiva, L A, Ortiz-Martínez, D, Romero, V, Sánchez, J A, Sánchez-Saez, R, Toselli, A H, Vidal, E

    “…Traditionally, Pattern Recognition applications have focused on fully automatic systems. However, since their performance is far from being perfect, such…”
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    Conference Proceeding
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    Optimal linguistic decoding is a difficult computational problem by Casacuberta, F., de la Higuera, C.

    Published in Pattern recognition letters (01-08-1999)
    “…The general problem of decoding an acoustic sequence into an optimal word string under the probabilistic framework cannot be solved by an algorithm in…”
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    Journal Article
  10. 10

    Some relations among stochastic finite state networks used in automatic speech recognition by Casacuberta, F.

    “…In the literature on automatic speech recognition, the popular hidden Markov models (HMMs), left-to-right hidden Markov models (LRHMMs), Markov source models…”
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    Journal Article
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    Acoustic and syntactical modeling in the ATROS system by Llorens, D., Casacuberta, F., Segarra, E., Sanchez, J.A., Aibar, P., Castro, M.J.

    “…Current speech technology allows us to build efficient speech recognition systems. However, model learning of knowledge sources in a speech recognition system…”
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    Conference Proceeding
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    A windowed weighted approach for approximate cyclic string matching by Mollineda, R.A., Vidal, E., Casacuberta, F.

    “…A method for measuring dissimilarities between cyclic strings is introduced. It computes a weighted mean between two (lower and upper) bounds of the exact…”
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    Conference Proceeding
  13. 13

    Finite-state transducers for speech-input translation by Casacuberta, F.

    “…Nowadays, hidden Markov models (HMMs) and n-grams are the basic components of the most successful speech recognition systems. In such systems, HMMs (the…”
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    Conference Proceeding
  14. 14

    Spanish phone recognition using semicontinuous hidden Markov models by Torres, I., Casacuberta, F.

    “…The design of current acoustic-phonetic decoders for a specific language involves the selection of an adequate set of sublexical units and the choice of the…”
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    Conference Proceeding
  15. 15

    Probabilistic finite-state machines--part II by Vidal, Enrique, Thollard, Frank, de la Higuera, Colin, Casacuberta, Francisco, Carrasco, Rafael C

    “…Probabilistic finite-state machines are used today in a variety of areas in pattern recognition or in fields to which pattern recognition is linked. In Part I…”
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    Journal Article
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    Inference of finite-state transducers from regular languages by Casacuberta, Francisco, Vidal, Enrique, Picó, David

    Published in Pattern recognition (01-09-2005)
    “…Finite-state transducers are models that are being used in different areas of pattern recognition and computational linguistics. One of these areas is machine…”
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    Journal Article
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    The scaling problem in the pattern recognition approach to machine translation by Ortiz-Martínez, D., García-Varea, I., Casacuberta, F.

    Published in Pattern recognition letters (01-06-2008)
    “…Statistical machine translation (SMT) has proven to be an interesting pattern recognition framework for automatically building machine translations systems…”
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    Journal Article
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    Learning structural models of subword units through grammatical inference techniques by Sanchis, E., Casacuberta, F., Galiano, I., Segarra, E.

    “…The authors propose obtaining the structure of phonetic units from training samples of speech automatically by using two specific grammatical inference (GI)…”
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    Conference Proceeding