3 papers
cs.LG2022
Modelling calibration uncertainty in networks of environmental sensors
Michael Thomas Smith, Magnus Ross, Joel Ssematimba +4
Networks of low-cost sensors are becoming ubiquitous, but often suffer from poor accuracies and drift. Regular colocation with reference sensors allows recalibration but is complic…
eess.AS2018
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-Domain
Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
Gaussian process (GP) audio source separation is a time-domain approach that circumvents the inherent phase approximation issue of spectrogram based methods. Furthermore, through i…
stat.ML2016
Gaussian Processes for Music Audio Modelling and Content Analysis
Pablo A. Alvarado, Dan Stowell
Real music signals are highly variable, yet they have strong statistical structure. Prior information about the underlying physical mechanisms by which sounds are generated and rul…