Michael Syskind Pedersen — accepted AI-conference papers

2024

Speech Enhancement in Hearing Aids Using Target Speech Presence Estimation Based on a Delayed Remote Microphone Signal

Vasudha Sathyapriyan, Michael Syskind Pedersen, Mike Brookes, Jan Østergaard, Patrick A. Naylor, Jesper Jensen

ICASSP 2024accepted

Speech enhancement in hearing aids (HAs) can take advantage of a wireless remote microphone (RM) having a better signal-to-noise ratio than the HA microphones. However, using the RM effectively is complicated by the time delay between the acoustic and wireless signals. Methods in the literature assu…

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2020

A Constrained Maximum Likelihood Estimator of Speech and Noise Spectra with Application to Multi-Microphone Noise Reduction

Adel Zahedi, Michael Syskind Pedersen, Jan Østergaard, Lars Bramsløw, Thomas Ulrich Christiansen, Jesper Jensen

ICASSP 2020accepted

One of the challenges with the implementation of multi-microphone noise reduction systems in practical applications lies in the need for the knowledge of the speech and noise covariance matrices. Recently, a method based on Maximum Likelihood (ML) estimation addressed this problem. Despite its relat…

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2016

Informed Direction of Arrival estimation using a spherical-head model for Hearing Aid applications

Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen

ICASSP 2016accepted

In this paper, we propose a Direction of Arrival (DoA) estimator for a Hearing Aid System (HAS) which can connect to a wireless microphone worn by a target talker. The wireless microphone "informs" the HAS about the almost noise-free content of the target sound, and the proposed DoA estimator uses t…

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2015

Analysis of beamformer directed single-channel noise reduction system for hearing aid applications

Jesper Jensen, Michael Syskind Pedersen

ICASSP 2015accepted

We study multi-microphone noise reduction systems consisting of a beamformer and a single-channel (SC) noise reduction stage. In particular, we present and analyse a maximum likelihood (ML) method for jointly estimating the target and noise power spectral densities (psd's) entering the SC filter. We…

Cited by 33 Source ↗Scholar ↗

2015

Maximum likelihood approach to "informed" Sound Source Localization for Hearing Aid applications

Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen

ICASSP 2015accepted

Most state-of-the-art Sound Source Localization (SSL) algorithms have been proposed for applications which are “uninformed” about the target sound content; however, utilizing a wireless microphone worn by a target talker, enables recent Hearing Aid Systems (HASs) to access to an almost noise-free so…

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2015

On the influence of microphone array geometry on HRTF-based Sound Source Localization

Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen

ICASSP 2015accepted

The direction dependence of Head Related Transfer Functions (HRTFs) forms the basis for HRTF-based Sound Source Localization (SSL) algorithms. In this paper, we show how spectral similarities of the HRTFs of different directions in the horizontal plane influence performance of HRTF-based SSL algorit…

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