Elias Zea

Elias Zea
KTH Royal Institute of Technology | KTH · Department of Engineering Mechanics

PhD

About

23
Publications
5,583
Reads
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64
Citations
Introduction
PhD in Vehicle Engineering, 2017. Currently researcher on technical acoustics, with emphasis on applied mathematics and data-driven modelling. Recipient of "Best Paper and Presentation Award for Young Researchers", 23rd International Congress on Acoustics, 2019. Recipient of Starting Grant from the Swedish Research Council, 2020. Research interests: inverse acoustics, wave propagation & diffraction, sparse data processing, machine learning, representation theory and harmonic analysis.
Additional affiliations
January 2020 - present
KTH Royal Institute of Technology
Position
  • Researcher
August 2018 - November 2018
KTH Royal Institute of Technology
Position
  • Supervision of BSc Internship
Description
  • Student: Ties van Loon. Thesis: Sound Signature Generation for an Electric Motor using Microphone Arrays. The project was carried out in cooperation with ABB CRC (Västerås) and TU/e (Eindhoven).
January 2018 - December 2019
KTH Royal Institute of Technology
Position
  • PostDoc Position
Education
May 2013 - December 2017
KTH Royal Institute of Technology
Field of study
  • Technical Acoustics
August 2011 - December 2012
KTH Royal Institute of Technology
Field of study
  • Sound and Music Computing
September 2007 - March 2013
Simon Bolívar University
Field of study
  • Signals and Systems

Publications

Publications (23)
Article
Full-text available
In order to counteract the problem of railway noise and its environmental impact, passing trains in Europe must be tested in accordance to a noise legislation that demands the quantification of the noise generated by the vehicle alone. However, for frequencies between about 500 Hz and 1600 Hz, it has been found that a significant part of the measur...
Article
Full-text available
This paper introduces a method to recover unmeasured room impulse responses (RIRs) in acoustical spaces with unknown properties and contents, by means of a compressed sensing methodology. Methods published in the existing literature have been validated in empty, convex rooms; a limited subset of the many, diverse acoustical spaces one can encounter...
Article
Full-text available
This paper proposes a method for separating rail and wheel noise contributions via sparse regularization of microphone array data. The underlying idea is to promote sparse solutions, which jointly approximate the two noise contributions with few non-zero coefficients. The main hypothesis is that the acoustic field radiated by the rail is sparse in...
Article
Full-text available
This Letter reports evidence suggesting a representation system for transient waves with band limited spectra, referred to here as localized waves in the space-time and wavenumber-frequency domains. A theoretical analysis with a transient monopole shows that the wavenumber-frequency pressure spectrum is distributed over hyperbolic regions of propag...
Conference Paper
Full-text available
In this paper we propose the use of neural networks to predict the sound absorption coefficient spectra of finite porous samples with microphone arrays. The main goal is to train a model that can effectively mitigate the errors caused by the finite size effect. A convolutional neural network architecture is used to map the array data to the absorpt...
Article
Full-text available
The domain of Artificial Intelligence (AI) ethics is not new, with discussions going back at least 40 years. Teaching the principles and requirements of ethical AI to students is considered an essential part of this domain, with an increasing number of technical AI courses taught at several higher-education institutions around the globe including c...
Presentation
Water surface deformations in rivers can have very different shapes and dynamics depending on which mechanism drives them: turbulence, wind, and/or bed morphology. While some surface patterns can be treated as effective tracers for image-based velocimetry, others, such as gravity waves, affect the accuracy of the measurements. Emerging analysis tec...
Conference Paper
Full-text available
In this workshop we will share our teaching and learning experiences in the Sound and Vibration track at KTH, with emphasis on the challenges we are facing with practical activities in pandemic times while ensuring the quality of education remains unaffected. These are tangible challenges faced currently by higher education institutions worldwide,...
Conference Paper
Full-text available
The spatio-temporal sparsity of room impulse responses (RIRs) degrades in the late part due to the stronger wave interference compared with the early part. Meanwhile, such an interference decays in amplitude as time progresses due to absorption in the room, resulting in a decreasing dynamic range of the measurement. Together these aspects pose chal...
Article
Full-text available
We consider the problem of separating and reconstructing the sound field radiated by a planar source, e.g. a vibrating plate, that faces a parallel reflector. For this purpose we propose a Fourier-based technique to process near-field microphone array measurements that are performed on a single plane between the plate and the reflector. A closed-fo...
Article
Full-text available
The noise produced during a train pass-by originates from several different sources such as propulsion noise, noise from auxiliary equipment, aerodynamic noise and rolling noise. The rolling noise is radiated by the wheels and the track and is excited by the wheel and rail unevenness, usually referred to as roughness. The current TSI Noise certific...
Article
Full-text available
This brief communication exposes an overview of various wavenumber filters to separate the rail contribution to pass-by noise via the wave signature extraction method [Zea, Manzari, Squicciarini, Feng, Thompson, and Lopez Arteaga, J. Sound Vib. 409, 24–42 (2017)]. It has been found that the originally proposed filters underestimate the rail noise a...
Article
The accuracy of sound fieldreconstruction methods with single-layer microphone arrays is subject to the room or enclosure in which the measurements take place. Thus, the authors recently introduced a single-layer method that can be employed to reconstruct compact sources in the presence of a reflecting surface that is parallel to the array. Now the...
Conference Paper
Full-text available
A technique to separate the track noise contribution is proposed based on identifying and extracting the track signature from the pass-by noise information measured with a microphone array relatively close to the track. Separation of the contributions of the vehicle and the track in the pass-by noise spectra is a challenging task, which is currentl...
Presentation
Full-text available
A technique to separate the track noise contribution is proposed based on identifying and extracting the track signature from the pass-by noise information measured with a microphone array relatively close to the track. Separation of the contributions of the vehicle and the track in the pass-by noise spectra is a challenging task, which is currentl...
Article
Full-text available
We consider the problem of planar near-field acoustic holography (PNAH) and introduce a new reconstruction method that can be used to process single layer pressure measurements performed in the presence of a reflective surface that is parallel to the measurement plane. The method is specially tailored for compact sources, or for problems in which t...
Thesis
The visualization of optical fields, or widely known as photography, is a common practice that can also be applied to acoustic fields. No less than three decades of research in acoustic imaging demonstrate its potential and relevance in plenty applications such as sound source identification and localization, as well as characterization of noise ge...
Conference Paper
Full-text available
Planar near-field acoustic holography (PNAH) is preferably performed in anechoic spaces, since the wave-field extrapolation only holds for outgoing waves, which makes the study of certain vibro-acoustic sources a troublesome pursuit. To overcome this limitation, a number of imaging alternatives have been investigated in recent years with the use of...
Presentation
Full-text available
Planar near-field acoustic holography (PNAH) is preferably performed in anechoic spaces, since the wave-field extrapolation only holds for outgoing waves, which makes the study of certain vibro-acoustic sources a troublesome pursuit. To overcome this limitation, a number of imaging alternatives have been investigated in recent years with the use of...
Conference Paper
Full-text available
In this study, the task of vocal duration estimation in monaural music mixtures is explored. We show how presently available algorithms for source separation and predominant f0 estimation can be used as a front end from which features can be extracted. A large set of fea-tures is presented, devised to connect different vocal cues to the presence of...
Conference Paper
Full-text available
One of the limitations of Fourier-based planar near-field acoustic holography (P-NAH) is that the wave-field extrapolation only holds for outgoing waves, making the study of certain vibro-acoustic sources in reverberant environments a costly and dificult procedure. The present paper is concerned with a single-layer formulation of Fourier-based P-NA...
Presentation
Full-text available
One of the limitations of Fourier-based planar near-field acoustic holography (P-NAH) is that the wave-field extrapolation only holds for outgoing waves, making the study of certain vibro-acoustic sources in reverberant environments a costly and difficult procedure. The present paper is concerned with a single-layer formulation of Fourier-based P-N...
Conference Paper
Full-text available
A method for Binaural In-Ear Monitoring (Binaural IEM) of acoustic instruments in live music is presented. Spatial rendering is based on four considerations: the directional radiation patterns of musical instruments, room acoustics, binaural synthesis with Head-Related Transfer Functions (HRTF), and the movements of both the musician’s head and ins...

Network

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Projects

Projects (3)
Project
This project intents to set up a network for scholars interested in the field of AI and neural networks applied to problems in vibroacoustics
Project
The goal of the project is to investigate new Fourier-based reconstruction methods for vibro-acoustic sources in enclosed spaces.
Project
"To reduce the overall noise from railways in Europe and allow for better designs there is a specific need to further develop an assessment procedure that can separate track noise from vehicle noise. One example of rolling stock legislation is the TSI NOISE where pass-by levels are often dominated by rolling noise for which track noise contribution plays an important role and track parameters are key factors." More information at: http://www.roll2rail.eu/home.aspx