Posts by Collection

Demonstration

This page provides listening examples for the evaluation of a MPDR beamformer using a compact model sample covariance matrix (SCM) estimation method, using wearable arrays and presented in this paper.

Group in Noise (GiN) dataset

This page provides some illustrative examples of the recordings in the GiN database. Full information about the database can be found in the paper and the full data can be access through this link.

PEVD in wireless acoustic sensor networks

This page provides listening examples for enhancement in wireless acoustic sensor networks (WASNs) using a polynomial eigenvalue decomposiion (PEVD)-based method. The examples are 1 realisation of the setup below, where 5 microphones and 1 speech source are placed randomly in a 4x5x3 m room with T60=0.4 s.

Demonstration

This animation shows the beampatterns obtained through polynomial eigenvalue (PEVD) decomposition of the frame-based space-time covariance matrix estimate obtained following the procedure in [1].

Demonstration

This demonstration provides listening examples of speech enhancement in distributed microphone arrays using a PEVD algorithm presented in this paper.

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

Short description of portfolio item number 2

Model-based Beamforming for Wearable Microphone Arrays

Published in 29th European Signal Processing Conference (EUSIPCO), 2021

Emilie d’Olne, Alastair H. Moore, Patrick A. Naylor. Demo | Paper

Speech Enhancement in Distributed Microphone Arrays Using Polynomial Eigenvalue Decomposition

Published in 30th European Signal Processing Conference (EUSIPCO), 2022

Emilie d’Olne, Vincent W. Neo, Patrick A. Naylor. Demo | Video | Paper

Frame-Based Space-Time Covariance Matrix Estimation for Polynomial Eigenvalue Decomposition-Based Speech Enhancement

Published in International Workshop on Acoustic Signal Enhancement (IWAENC), 2022

Emilie d’Olne, Vincent W. Neo, Patrick A. Naylor. Demo | Poster | Paper

Group conversations in Noisy environments (GiN) – Multimedia recordings for location-aware speech enhancement

Published in IEEE Open Journal of Signal Processing (OJSP), 2023

Emilie d’Olne, Alastair H. Moore, Patrick A. Naylor, Jacob Donley, Vladimir Tourbabin, Thomas Lunner. Data | Code | Paper | Poster | Examples