ssp2021-variationallogpowertracking
Derivations and experiments of the "Variational Log-Power Spectral Tracking for Acoustic Signals" paper, accepted to 2021 IEEE Statistical Signal Processing Workshop (SSP).
https://github.com/biaslab/ssp2021-variationallogpowertracking
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Derivations and experiments of the "Variational Log-Power Spectral Tracking for Acoustic Signals" paper, accepted to 2021 IEEE Statistical Signal Processing Workshop (SSP).
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Metadata Files
README.md
Variational Log-Power Spectral Tracking for Acoustic Signals
By Bart van Erp, İsmail Şenöz and Bert de Vries
Submitted to 2021 IEEE Statistical Signal Processing Workshop (SSP)
Abstract
This paper proposes a generative hierarchical probabilistic model for acoustic signals where both the frequency decomposition and log-power spectrum appear as latent variables. In order to facilitate efficient inference, we represent the model in a factor graph that includes a probabilistic Fourier transform and a Gaussian scale model as modules. We derive novel ways of performing variational message passing-based inference in the Gaussian scale model. As a result, in this model a probabilistic representation of the log-power spectrum of an acoustic signal can be effectively inferred online. The proposed model may find applications as a front end wherever probabilistic log-power spectral features of a signal are needed. We validate the model and message passing-based inference methods by tracking the log-power spectrum of a speech signal.
This repository contains the experiments and derivations of the paper. The experiments are two-fold. First the log-power spectrum of an acoustic signal is tracked. Secondly the proposed inference methods are compared.
Owner
- Name: BIASlab
- Login: biaslab
- Kind: organization
- Email: info@biaslab.org
- Location: Eindhoven, the Netherlands
- Website: http://biaslab.org
- Repositories: 47
- Profile: https://github.com/biaslab
Bayesian Intelligent Autonomous Systems lab
Citation (Citation.cff)
cff-version: 1.2.0
message: "Please cite this research as below."
authors:
- family-names: "van Erp"
given-names: "Bart"
orcid: "https://orcid.org/0000-0002-5619-7071"
title: "SSP2021-VariationalLogPowerTracking"
version: 1.0.0
doi: 10.5281/zenodo.1234
date-released: 2021-09-02
url: "https://github.com/biaslab/SSP2021-VariationalLogPowerTracking"
preferred-citation:
type: conference-paper
authors:
- family-names: "van Erp"
given-names: "Bart"
orcid: "https://orcid.org/0000-0002-5619-7071"
- family-names: "Senoz"
given-names: "Ismail"
- family-names: "de Vries"
given-names: "Bart"
title: "Variational Log-Power Spectral Tracking of Acoustic Signals"
year: 2021
month: 7
conference:
- name: 2021 IEEE Statistical Signal Processing Workshop (SSP)
start: 311
end: 315
doi: "10.1109/ssp49050.2021.9513757"
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| Name | Commits | |
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| Bart van Erp | b****p@t****l | 8 |
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