most citedBinaural Speech Enhancement Using Deep Complex Convolutional Transformer Networks

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD20241 cited

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…

eess.AS20242 cited

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…

eess.AS20231 cited

Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification

Simon W. McKnight, Aidan O. T. Hogg, Vincent W. Neo +1

This paper studies modulation spectrum features () and mel-frequency cepstral coefficients () in joint speaker diarization and identification (JSID). JSID is important as spe…

cs.SD2023

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…

eess.AS20231 cited

Subspace Hybrid Beamforming for Head-worn Microphone Arrays

Sina Hafezi, Alastair H. Moore, Pierre Guiraud +4

A two-stage multi-channel speech enhancement method is proposed which consists of a novel adaptive beamformer, Hybrid Minimum Variance Distortionless Response (MVDR), Isotropic-MVD…