62 citations · 110 across the 10 of their papers we have counts for
12 papers
Elastic kernel Ridge regression, with applications in phonetics
Beatrice Matteo, Almond Stoecker, Davide Pigoli +1
Predicting the shapes of entire curves requires accounting for nonlinear geometry and unknown alignments between curves. We develop elastic kernel ridge regression, a nonparametric…
Statistics in Phonetics
Shahin Tavakoli, Beatrice Matteo, Davide Pigoli +5
Phonetics is the scientific field concerned with the study of how speech is produced, heard and perceived. It abounds with data, such as acoustic speech recordings, neuroimaging da…
Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19
Davide Pigoli, Kieran Baker, Jobie Budd +19
Since early in the coronavirus disease 2019 (COVID-19) pandemic, there has been interest in using artificial intelligence methods to predict COVID-19 infection status based on voca…
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Harry Coppock, George Nicholson, Ivan Kiskin +22
Recent work has reported that AI classifiers trained on audio recordings can accurately predict severe acute respiratory syndrome coronavirus 2 (SARSCoV2) infection status. Here, w…
A large-scale and PCR-referenced vocal audio dataset for COVID-19
Jobie Budd, Kieran Baker, Emma Karoune +23
The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory sympt…
Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns
Davide Beretta, Samuele Grillo, Davide Pigoli +3
Understanding and predicting the electric consumption patterns in the short-, mid- and long-term, at the distribution and transmission level, is a fundamental asset for smart grids…
Kriging Riemannian Data via Random Domain Decompositions
Alessandra Menafoglio, Davide Pigoli, Piercesare Secchi
Data taking value on a Riemannian manifold and observed over a complex spatial domain are becoming more frequent in applications, e.g. in environmental sciences and in geoscience.…
Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology
D. Pigoli, J. A. D. Aston, F. Ferraty +3
Forensic entomology contributes important information to crime scene investigations. In this paper, we propose a method to estimate the hatching time of larvae (or maggots) based o…
Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology
Alessandra Cabassi, Davide Pigoli, Piercesare Secchi +1
In this paper, we generalize the metric-based permutation test for the equality of covariance operators proposed by Pigoli et al. (2014) to the case of multiple samples of function…
A Spatial Modeling Approach for Linguistic Object Data: Analysing dialect sound variations across Great Britain
Shahin Tavakoli, Davide Pigoli, John A. D. Aston +1
Dialect variation is of considerable interest in linguistics and other social sciences. However, traditionally it has been studied using proxies (transcriptions) rather than acoust…
The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages
Davide Pigoli, Pantelis Z. Hadjipantelis, John S. Coleman +1
The historical and geographical spread from older to more modern languages has long been studied by examining textual changes and in terms of changes in phonetic transcriptions. Ho…
Tests for separability in nonparametric covariance operators of random surfaces
John A. D. Aston, Davide Pigoli, Shahin Tavakoli
The assumption of separability of the covariance operator for a random image or hypersurface can be of substantial use in applications, especially in situations where the accurate…