VEU - Grup de Tractament de la Parla
L'àmbit de recerca del grup 'VEU' és el tractament de la parla. Investiguem tecnologies que permeten l'extracció d'informació que la veu conté: reconeixement del que es diu, l'idioma o el dialecte, característiques del parlant -qui és, la seva edat, el sexe, l'estat emocional-, la direcció del so. També treballem en la caracterització general de l'àudio, per determinar quan hi ha veu i quan hi ha altres esdeveniments acústics com música o sorolls diversos. Les tecnologies de la parla possibiliten generar veu -síntesis de veu- o modificar les seves
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Articles de revista [146]
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Llibres [5]
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Presentacions [2]
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Reports de recerca [37]
Recent Submissions
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Combining subword representations into word-level representations in the transformer architecture
(Association for Computational Linguistics, 2020)
Conference lecture
Open AccessIn Neural Machine Translation, using word-level tokens leads to degradation in translation quality. The dominant approaches use subword-level tokens, but this increases the length of the sequences and makes it difficult ... -
Economic forecasting with evolved confidence indicators
(2020-12-01)
Article
Restricted access - publisher's policyWe present a machine-learning method for sentiment indicators construction that allows an automated variable selection procedure. By means of genetic programming, we generate country-specific business and consumer confidence ... -
Time series features and machine learning forecasts
(2020-09-16)
Article
Restricted access - publisher's policyIn this study we combine the results of two independent analyses to position Spanish regions according to both the characteristics of the time series of international tourist arrivals and the accuracy of predictions of ... -
Automatic Spanish translation of SQuAD dataset for multi-lingual question answering
(European Language Resources Association (ELRA), 2020)
Conference lecture
Open AccessRecently, multilingual question answering became a crucial research topic, and it is receiving increased interest in the NLP community.However, the unavailability of large-scale datasets makes it challenging to train ... -
A self-organizing map analysis of survey-based agents expectations before impending shocks for model selection: the case of the 2008 financial crisis
(2016-08-03)
Article
Open AccessThis paper examines the role of clustering techniques to assist in the selection of the most indicated method to model survey-based expectations. First, relying on a Self-Organizing Map (SOM) analysis and using the financial ... -
Spectral analysis of business and consumer survey data
(2020-07-08)
External research report
Open AccessThe main objective of this study is two-fold. First, we aim to detect the underlying existing periodicities in business and consumer survey data. With this objective, we conduct a spectral analysis of all survey indicators. ... -
Economic determinants of employment sentiment: a socio-demographic analysis for the euro area
(2020-07-07)
External research report
Open AccessIn this study we construct quarterly consumer confidence indicators of unemployment for the euro area using as input the consumer expectations for sixteen socio-demographic groups elicited from the Joint Harmonised EU ... -
A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics
(2018-07-03)
External research report
Open AccessIn this work we assess the role of data characteristics in the accuracy of machine learning (ML) tourism forecasts from a spatial perspective. First, we apply a seasonal-trend decomposition procedure based on non-parametric ... -
A geometric approach to proxy economic uncertainty by a metric of disagreement among qualitative expectations
(2018-07-10)
External research report
Open AccessIn this study we present a geometric approach to proxy economic uncertainty. We design a positional indicator of disagreement among survey-based agents' expectations about the state of the economy. Previous dispersion-based ... -
Let the data do the talking: empirical modelling of survey-based expectations by means of genetic programming
(2017-07-05)
External research report
Open AccessIn this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and ... -
Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting”
(2017-07-06)
External research report
Open AccessThis study presents a multiple-input multiple-output (MIMO) approach for multi-step-ahead time series prediction with a Gaussian process regression (GPR) model. We assess the forecasting performance of the GPR model with ... -
Effects of removing the trend and the seasonal component on the forecasting performance of artificial neural network techniques
(2015-07-02)
External research report
Open AccessThis study aims to analyze the effects of data pre-processing on the performance of forecasting based on neural network models. We use three different Artificial Neural Networks techniques to forecast tourist demand: a ...
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