Recursive Bayesian estimation of the acoustic noise emitted by wind farms

Baldwin Dumortier 1 Emmanuel Vincent 1 Madalina Deaconu 2, 3
1 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 TOSCA - TO Simulate and CAlibrate stochastic models
CRISAM - Inria Sophia Antipolis - Méditerranée , IECL - Institut Élie Cartan de Lorraine : UMR7502
3 IECL - Institut Élie Cartan de Lorraine
Abstract : Wind turbine noise is often annoying for humans living in close proximity to a wind farm. Reliably estimating the intensity of wind turbine noise is a necessary step towards quantifying and reducing annoyance, but it is challenging because of the overlap with background noise sources. Current approaches involve measurements with on/off turbine cycles and acoustic simulations, which are expensive and unreliable. This raises the problem of separating the noise of wind turbines from that of background noise sources and coping with the uncertainties associated with the source separation output. In this paper we propose to assist a black-box source separation system with a model of wind turbine noise emission and propagation in a recursive Bayesian estimation framework. We validate our approach on real data with simulated uncertainties using different nonlinear Kalman filters.
Keywords : wind turbine noise Audio source separation nonlinear Kalman filtering uncertainties
Document type :
Conference papers
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download
https://hal.inria.fr/hal-01428962
Contributor : Baldwin Dumortier <>
Submitted on : Friday, January 6, 2017 - 4:41:53 PM
Last modification on : Wednesday, April 3, 2019 - 1:22:58 AM
Long-term archiving on : Friday, April 7, 2017 - 5:36:56 PM

File

dumortier.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01428962, version 1

Collections

INRIA | IECN | LORIA | LORIA-NLPKD | UNIV-LORRAINE | GRID5000 | INRIA2017 | IECLPS | UNIV-COTEDAZUR

Citation

Baldwin Dumortier, Emmanuel Vincent, Madalina Deaconu. Recursive Bayesian estimation of the acoustic noise emitted by wind farms. 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)., Mar 2017, New Orleans, United States. ⟨hal-01428962⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

720

Files downloads

276

Contact


archive-ouverte@inria.fr