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Gaussian Process Modelling for Audio Signals
https://theses.eurasip.org/media/theses/documents/william-wilkinson-gaussian-process-modelling-for-audio-signals.pdf
It has been shown that Gaussian processes have strong connections to stochastic di erential equations and dynamical systems (Hartikainen and S arkk a,2010), and we exploit this fact to deploy them as a tool for modelling audio signals. Connections between the elds of machine learning and signal pro- cessing are explored.
Gaussian process models for HRTF based 3D sound …
https://www.researchgate.net/publication/269294887_Gaussian_process_models_for_HRTF_based_3D_sound_localization
Request PDF | Gaussian process models for HRTF based 3D sound localization | The human ability to localize sound-source direction using just two …
Matched field source localization with Gaussian processes ...
https://asa.scitation.org/doi/10.1121/10.0005069
For a sparsely observed acoustic field, Gaussian processes can predict a densely sampled field on the array. The prediction quality depends on the choice of a kernel and a set of hyperparameters. Gaussian processes are applied to source localization in the ocean in combination with matched-field processing. Compared to conventional processing, the denser …
Gaussian processes for learning-based indoor …
https://www.researchgate.net/publication/261198411_Gaussian_processes_for_learning-based_indoor_localization
Learning-based indoor localization using Gaussian processes is described in [35]. The method used to train hyper-parameters is not clearly mentioned [35, 34]. In summary, all the localization...
The Power of Gaussian Processes: Magnetic Localisation …
https://www.youtube.com/watch?v=3a50tTLDMWE
This talk goes through how to encode knowledge from high-school physics into a GP model for the ambient magnetic field (observed by a smartphone compass).
Gaussian Processes - University of Utah
https://www.math.utah.edu/~davar/math7880/S15/Chapter6.pdf
Gaussian Processes 1. Basic Notions Let T be a set, and X:= {X�}�∈T a stochastic process, defined on a suitable probability space (Ω���P), that is indexed by T. Definition 1.1. We say that X is a Gaussian process indexed by T when (X�1�����X��) is a Gaussian random vector for every �1������� ∈ T and � > 1. The distribution of X—that is the ...
Supervised audio source localisation using microphone array
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005605568
In this paper, we present a supervised method for speaker localisation in an echoic environment using a microphone array. An audio source is located among a set of areas centered on each microphone. Each area is characterized by a multi-dimensional Gaussian Mixture of the propagation channel between the source and several pairs of microphones.
Gaussian Processes for Signal Strength-Based Location ...
https://rse-lab.cs.washington.edu/postscripts/gp-localization-rss-06.pdf
our approach to localization, we will show how Gaussian processes can be used to generate an observation model for signal strength measurements from calibration data. A. Preliminaries GPs can be derived in different ways. Here, we follow closely the function-space view described in [13]. Let D = {(x 1,y 1),(x 2,y 2),...,(x n,y n)} be a set of training samples
Deep Gaussian Process-Based Bayesian Inference for ...
https://deepai.org/publication/deep-gaussian-process-based-bayesian-inference-for-contaminant-source-localization
Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization. 06/21/2018 ∙ by Young-Jin Park, et al. ∙ 0 ∙ share. This paper proposes a Bayesian framework for localization of multiple sources in the event of accidental hazardous contaminant release. The framework assimilates sensor measurements of the contaminant ...
Radio-Frequency Signal Strength Based Localisation in ...
https://ses.library.usyd.edu.au/bitstream/handle/2123/2242/02chapter1.pdf?sequence=2
Localisation and tracking of moving agents is a task that is at the centre of interest of many ... at exhibitions where audio information about the exhibits may be provided dependent on the visitors’ position. Another important application for indoor localisation is to improve ... for indoor localisation [3,83]. Recently Gaussian processes ...
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