Reports de recerca
Recent Submissions
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SHAS: approaching optimal segmentation for end-to-end speech translation
(2022-02)
Research report
Open AccessSpeech translation models are unable to directly process long audios, like TED talks, which have to be split into shorter segments. Speech translation datasets provide manual segmentations of the audios, which are not ... -
End-to-End speech translation with pre-trained models and adapters: UPC at IWSLT 2021
(2021-06-28)
Research report
Open AccessThis paper describes the submission to the IWSLT 2021 offline speech translation task by the UPC Machine Translation group. The task consists of building a system capable of translating English audio recordings extracted ... -
Gender bias in multilingual neural machine translation: The architecture matters
(2020-12-24)
Research report
Open AccessMultilingual Neural Machine Translation architectures mainly differ in the amount of sharing modules and parameters among languages. In this paper, and from an algorithmic perspective, we explore if the chosen architecture, ... -
Nowcasting and forecasting GDP growth with machine-learning sentiment indicators
(2021-02-17)
Research report
Open AccessWe apply the two-step machine-learning method proposed by Claveria et al. (2021) to generate country-specific sentiment indicators that provide estimates of year-on-year GDP growth rates. In the first step, by means of ... -
The UPC speaker verification system submitted to VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20)
(2020-10-27)
Research report
Open AccessThis report describes the submission from Technical University of Catalonia (UPC) to the VoxCeleb Speaker Recognition Challenge (VoxSRC-20) at Interspeech 2020. The final submission is a combination of three systems. ... -
Spectral analysis of business and consumer survey data
(2020-07-08)
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)
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)
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)
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)
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)
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)
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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