Sina Hafezi — accepted AI-conference papers

2023

Subspace Hybrid Beamforming for Head-Worn Microphone Arrays

Sina Hafezi, Alastair H. Moore, Pierre Guiraud, Patrick A. Naylor, Jacob Donley, Vladimir Tourbabin +1

ICASSP 2023accepted

A two-stage multi-channel speech enhancement method is proposed which consists of a novel adaptive beamformer, Hybrid Minimum Variance Distortionless Response (MVDR), Isotropic-MVDR (Iso), and a novel multi-channel spectral Principal Components Analysis (PCA) denoising. In the first stage, the Hybri…

Cited by 0 Source ↗Scholar ↗

2017

Multiple source localization using Estimation Consistency in the Time-Frequency domain

Sina Hafezi, Alastair H. Moore, Patrick A. Naylor

ICASSP 2017accepted

The extraction of multiple Direction-of-Arrival (DoA) information from estimated spatial spectra can be challenging when such spectra are noisy or the sources are adjacent. Smoothing or clustering techniques are typically used to remove the effect of noise or irregular peaks in the spatial spectra.…

Cited by 0 Source ↗Scholar ↗

2016

3D acoustic source localization in the spherical harmonic domain based on optimized grid search

Sina Hafezi, Alastair H. Moore, Patrick A. Naylor

ICASSP 2016accepted

An approach for 3D source localization using a spherical microphone array is proposed that gives improved accuracy compared to intensity-based methods. First order spherical harmonics are first used to obtain an initial approximate localization result and then the initial result is improved based on…

Cited by 15 Source ↗Scholar ↗