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The Department of Electrical and Electronic Engineering, Southern University of Science and Technology (SUSTech) now invites applications for the faculty position in the Department of Electrical and Electronic Engineering. It is seeking to appoint a number of tenured or tenure track positions in all ranks.

​Deputy Director-190339   Primary Location  Italy-La Spezia NATO Body  Centre for Maritime Research and Experimentation (CMRE) Schedule  Full-time Euro (EUR) Yearly Grade A.6

CTTC is seeking to hire an Early Stage Researcher (ESR) to join the WindMill project. The project offers an excellent research and training programme:

Section: Events

Lecture Date: May 8, 2019 Chapter: Germany Chapter Chair: Wolfgang Utschick Topic: Speech Recognition: What’s Left?

https://nato.taleo.net/careersection/2/jobdetail.ftl?job=190339&lang=en#.XKyV6uNspCw.gmail    Deputy Director-190339   Primary Location  Italy-La Spezia NATO Body  Centre for Maritime Research and Experimentation (CMRE) Schedule  Full-time Euro (EUR) Yearly

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Acoustic source localization and tracking is a well-studied topic in signal processing, but most traditional methods incorporate simplifying assumptions such as a point source, free-field propagation of the sound wave, static acoustic sources, time-invariant sensor constellations, and simple noise fields.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

This paper investigates sound-field modeling in a realistic reverberant setting. Starting from a few point-like microphone measurements, the goal is to estimate the direct source field within a whole three-dimensional (3-D) space around these microphones. Previous sparse sound field decompositions assumed only a spatial sparsity of the source distribution, but could generally not handle reverberation.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Supervised learning-based methods for source localization, being data driven, can be adapted to different acoustic conditions via training and have been shown to be robust to adverse acoustic environments. In this paper, a convolutional neural network (CNN) based supervised learning method for estimating the direction of arrival (DOA) of multiple speakers is proposed. Multi-speaker DOA estimation is formulated as a multi-class multi-label classification problem, where the assignment of each DOA label to the input feature is treated as a separate binary classification problem.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Matched field processing (MFP) compares the measures to the modeled pressure fields received at an array of sensors to localize a source in an ocean waveguide. Typically, there are only a few sources when compared to the number of candidate source locations or range-depth cells. We use sparse Bayesian learning (SBL) to learn a common sparsity profile corresponding to the location of present sources. SBL performance is compared to traditional processing in simulations and using experimental ocean acoustic data.

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

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