70 citations · 73 across the 9 of their papers we have counts for
9 papers
Binaural Localization Model for Speech in Noise
Vikas Tokala, Eric Grinstein, Rory Brooks +4
Binaural acoustic source localization is important to human listeners for spatial awareness, communication and safety. In this paper, an end-to-end binaural localization model for…
Binaural Speech Enhancement Using Complex Convolutional Recurrent Networks
Vikas Tokala, Eric Grinstein, Mike Brookes +3
From hearing aids to augmented and virtual reality devices, binaural speech enhancement algorithms have been established as state-of-the-art techniques to improve speech intelligib…
Controlling the Parameterized Multi-channel Wiener Filter using a tiny neural network
Eric Grinstein, Ashutosh Pandey, Cole Li +6
Noise suppression and speech distortion are two important aspects to be balanced when designing multi-channel Speech Enhancement (SE) algorithms. Although neural network models hav…
Steered Response Power for Sound Source Localization: A Tutorial Review
Eric Grinstein, Elisa Tengan, Bilgesu Çakmak +5
In the last three decades, the Steered Response Power (SRP) method has been widely used for the task of Sound Source Localization (SSL), due to its satisfactory localization perfor…
The Neural-SRP method for positional sound source localization
Eric Grinstein, Toon van Waterschoot, Mike Brookes +1
Steered Response Power (SRP) is a widely used method for the task of sound source localization using microphone arrays, showing satisfactory localization performance on many practi…
Binaural Speech Enhancement Using Deep Complex Convolutional Transformer Networks
Vikas Tokala, Eric Grinstein, Mike Brookes +3
Studies have shown that in noisy acoustic environments, providing binaural signals to the user of an assistive listening device may improve speech intelligibility and spatial aware…
Dual input neural networks for positional sound source localization
Eric Grinstein, Vincent W. Neo, Patrick A. Naylor
In many signal processing applications, metadata may be advantageously used in conjunction with a high dimensional signal to produce a desired output. In the case of classical Soun…
Graph neural networks for sound source localization on distributed microphone networks
Eric Grinstein, Mike Brookes, Patrick A. Naylor
Distributed Microphone Arrays (DMAs) present many challenges with respect to centralized microphone arrays. An important requirement of applications on these arrays is handling a v…
Audio style transfer
Eric Grinstein, Ngoc Duong, Alexey Ozerov +1
'Style transfer' among images has recently emerged as a very active research topic, fuelled by the power of convolution neural networks (CNNs), and has become fast a very popular t…