most citedState-of-the-art in speaker recognition

100 citations · 135 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SD202214 cited

A comparative study between linear and nonlinear speech prediction

Marcos Faundez-Zanuy, Enric Monte, Francesc Vallverdú

This paper is focused on nonlinear prediction coding, which consists on the prediction of a speech sample based on a nonlinear combination of previous samples. It is known that in…

cs.SD202221 cited

Nonlinear prediction with neural nets in ADPCM

Marcos Faundez-Zanuy, Francesc Vallverdu, Enric Monte

In the last years there has been a growing interest for nonlinear speech models. Several works have been published revealing the better performance of nonlinear techniques, but lit…

eess.AS2022100 cited

State-of-the-art in speaker recognition

Marcos Faundez-Zanuy, Enric Monte-Moreno

Recent advances in speech technologies have produced new tools that can be used to improve the performance and flexibility of speaker recognition While there are few degrees of fre…

stat.ML2018

Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection

Oscar Claveria, Enric Monte, Salvador Torra

This study assesses the influence of the forecast horizon on the forecasting performance of several machine learning techniques. We compare the fo recast accuracy of Support Vector…

stat.ML2018

Modelling cross-dependencies between Spain's regional tourism markets with an extension of the Gaussian process regression model

Oscar Claveria, Enric Monte, Salvador Torra

This study presents an extension of the Gaussian process regression model for multiple-input multiple-output forecasting. This approach allows modelling the cross-dependencies betw…