Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Engineering > Institute of Sound and Vibration Research > Signal Processing Audio and Hearing Group
Institute of Sound and Vibration Research > Signal Processing Audio and Hearing Group" and Year is 2026
 | Up a level |
Number of items: 9.
Type: Dataset
| 2026
| University of Southampton
Towards Low-Frequency Acoustic sensing using Antiresonant Hollow-Core Fibers - Meng Ding, William Wu, Thomas William Kelly, Gregory Jasion, Ian Davidson, Ali Masoudi, Paul White, Francesco Poletti and Radan Slavík
Type: Article
| 2026
The ring of silence in Ambisonics: spectral impairments in loudspeaker and binaural reproduction - Filippo Maria Fazi and Jacob Hollebon
Type: Article
| 2026
Transmission loss of a labyrinthine acoustic metamaterial augmented with multichannel feedforward active noise control - Gregory M. Hernandez, Jordan Cheer and Gianluca Memoli
Type: Article
| 2026
Design of real and complex recurrent neural networks for sound source localisation - Vlad S. Paul and Philip A. Nelson
Type: Article
| 2026
The 2026 active metamaterials roadmap - Simon Alexander Pope, Diane J. Roth, Aakash Bansal, Mostafa Mousa, Ashkan Rezanejad, Antonio Elia Forte, Geoff Nash, Lawrence Singleton, Felix Langfeldt, Jordan Cheer, Stephen Henthorn, I.R. Hooper, Euan Hendry, Alexander Powell, Anton Souslov, Eric Plum, Kai Sun, C.H. (Kees) de Groot, Otto L. Muskens, Joe Shields, Carlota Ruiz De Galarreta, C. David Wright, Coskun Kocabas, M. Said Ergoktas, Jianling Xiao, Sebastian Andreas Schulz, Andrea Di Falco, Alexey V. Krasavin, Anatoly V. Zayats and Emanuele Galiffi
Type: Article
| 2026
New observations of gas bubble behavior across the seabed - Ben Roche, Paul White, Jonathan Bull, Timothy Leighton and Gaye Bayrakci
Type: Article
| 2026
| Item availability restricted.
Dataset for thesis "Listening Hard: New Tools for Monitoring Effort in Listening to Speech in Noise"
Type: Dataset
| 2026
| University of Southampton
Objective comparison of auditory profiles using manifold learning and intrinsic measures - Chen Xu, Birger Kollmeier and Lena Schell-Majoor
Type: UNSPECIFIED
| 2026
| arXiv