Audio Analysis Workshop 2024

You are cordially invited to participate in the 11th edition of our annual Audio Analysis Workshop. This year, held as a half-day satellite workshop to the International Workshop on Acoustic Signal Enhancement (IWAENC) 2024.

The primary aim of the workshop is to facilitate a view into and a discussion of on-going research in a closed forum consisting of both academic and industrial partners. There will be no proceedings for the workshop, so presenters are welcome to show either on-going research or recently published research within the theme of the workshop.

The invited industrial partners work in different fields, but share a common methodical foundation, and we hope that this will lead to an open and fruitful discussion of the presented research from both a practical and theoretical perspective.

Program

8:30-8:40 Welcome (Intimsalen)
Jesper Rindom Jensen, Aalborg University

8:40-9:00 Relating Wave-based and Geometric Modeling of Room Acoustics
(Intimsalen)
Toon van Waterschoot, KU Leuven

9:00-9:20 Room Impulse Response Estimation using Optimal Transport:
Simulation-Informed Inference (Intimsalen)
David Sundström, Lund University

9:20-9:40 Preserving Speech Privacy in Open Spaces using Active Noise Control
(Intimsalen)
Sankha Subhra Bhattacharjee, Aalborg University

9:40-10:00 GN Audio/Jabra – From Research and Exploration to Development and back
again – Headset and Speakerphones, Audio Processing and Challenges
(Intimsalen)
Pejman Mowlaee, GN

10:00-10:15 Coffee Break (Nedre Foyer)

10:15-12:00 Poster Session (Nedre Foyer):

• The Effect of Different Time-Embeddings on an End-to-End Diffusion Speech Enhancement Model,
  Magnus Munk Jensen, Aalborg University
• Virtual Listener Panel,
  Niels Asp Fuglsang, Force Technology
• Spatially Dynamic Room Impulse Response Estimation, 
  Kathleen MacWilliam, KU Leuven
• Joint Minimum Processing Beamforming and Near-end Listening Enhancement, 
  Andreas Jonas Fuglsig, Aalborg University
• The tRIRjectory database: room acoustic recordings along a trajectory of moving microphones,
  Thomas Dietzen, KU Leuven
• Acoustic Seabed Classification Using Side-Scan Sonar and Machine Learning Techniques,
  Aris Thomasberger, DTU Aqua
• Simulating Approximate Arithmetic Circuits in Convolutional Neural Networks,
  Simon Dahl Jepsen, Aalborg University
• Performance of Low-Frequency Sound Zones with Very Fast Room Impulse Response Measurements,
  José Miguel Cadavid Tobón, Aalborg University