Reports de recerca
Enviaments recents
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SHAS: approaching optimal segmentation for end-to-end speech translation
(2022-02)
Report de recerca
Accés obertSpeech 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)
Report de recerca
Accés obertThis 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)
Report de recerca
Accés obertMultilingual 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)
Report de recerca
Accés obertWe 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)
Report de recerca
Accés obertThis 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)
Report de recerca
Accés obertThe 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)
Report de recerca
Accés obertIn 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)
Report de recerca
Accés obertIn 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)
Report de recerca
Accés obertIn 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)
Report de recerca
Accés obertIn 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)
Report de recerca
Accés obertThis 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)
Report de recerca
Accés obertThis 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 ...