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Listar por palabra clave "Confidence measures"

Mostrando ítems 1-11 de 11

A statistical confidence measure framework for probabilistic parsing

Sánchez Sáez, Ricardo (Universitat Politècnica de València, 2011-11-21)

The thesis introduces the Confidence Measure framework to the parsing world. They are widely used in Automatic Speech Recognition and Statistical Machine Translation, where they are used to asses the confidence in the ...
A word-based naïve bayes classifier for confidence estimation in speech recognition

Sanchis Navarro, José Alberto; Juan Císcar, Alfonso; Vidal, Enrique (Institute of Electrical and Electronics Engineers (IEEE), 2012-02)

Confidence estimation has been largely used in speech recognition to detect words in the recognized sentence that have been likely misrecognized. Confidence estimation can be seen as a conventional pattern classification ...
Advances in Interactive Speech Transcription

Sánchez Cortina, Isaías (Universitat Politècnica de València, 2012-11-26)

[ES] Novedoso sistema interactivo para la transcripción del habla que compensa el esfuerzo del usuario y el error máximo tolerado en las transcripciones resultantes.
Confidence Measures in Interactive Handwritten Text Transcription

Tarazon Alcocer, Lionel Manuel (Universitat Politècnica de València, 2011-10-03)

Development and evaluation of confidence measures for transcription support in a computer-assisted transcription system.
Interactive handwriting recognition with limited user effort

Serrano Martinez Santos, Nicolas; Giménez Pastor, Adrián; Civera Saiz, Jorge; Sanchis Navarro, José Alberto; Juan Císcar, Alfonso (Springer Verlag (Germany), 2014-03-01)

[EN] Transcription of handwritten text in (old) documents is an important, time-consuming task for digital libraries. Although post-editing automatic recognition of handwritten text is feasible, it is not clearly better ...
Interactive Transcription of Old Text Documents

Serrano Martínez-Santos, Nicolás (Universitat Politècnica de València, 2014-06-09)

Nowadays, there are huge collections of handwritten text documents in libraries all over the world. The high demand for these resources has led to the creation of digital libraries in order to facilitate the preservation ...
Neural Models for Measuring Confidence on Interactive Machine Translation Systems

Navarro-Martínez, Ángel; Casacuberta Nolla, Francisco (MDPI AG, 2022-02)

[EN] Reducing the human effort performed with the use of interactive-predictive neural machine translation (IPNMT) systems is one of the main goals in this sub-field of machine translation (MT). Prior works have focused ...
On the effective deployment of current machine translation technology

González Rubio, Jesús (Universitat Politècnica de València, 2014-06-03)

Machine translation is a fundamental technology that is gaining more importance each day in our multilingual society. Companies and particulars are turning their attention to machine translation since it dramatically ...
Speaker-Adapted Confidence Measures for ASR using Deep Bidirectional Recurrent Neural Networks

Del Agua Teba, Miguel Angel; Giménez Pastor, Adrián; Sanchis Navarro, José Alberto; Civera Saiz, Jorge; Juan, Alfons (Institute of Electrical and Electronics Engineers, 2018)

[EN] In the last years, Deep Bidirectional Recurrent Neural Networks (DBRNN) and DBRNN with Long Short-Term Memory cells (DBLSTM) have outperformed the most accurate classifiers for confidence estimation in automatic speech ...
Speaker-adapted confidence measures for speech recognition of video lectures

Sanchez-Cortina, Isaias; Andrés Ferrer, Jesús; Sanchis Navarro, José Alberto; Juan Císcar, Alfonso (Elsevier, 2016-05)

[EN] Automatic speech recognition applications can benefit from a confidence measure (CM) to predict the reliability of the output. Previous works showed that a word-dependent native Bayes (NB) classifier outperforms the ...
Using word graphs as intermediate representation of uttered sentences

Gómez Adrian, Jon Ander; Sanchís Arnal, Emilio (Springer Verlag (Germany), 2012)

We present an algorithm for building graphs of words as an intermediate representation of uttered sentences. No language model is used. The input data for the algorithm are the pronunciation lexicon organized as a tree and ...