Maximum Likelihood Estimation of the Interference-Plus-Noise Cross Power Spectral Density Matrix for Own Voice Retrieval

Poul Hoang, Zheng-Hua Tan, Thomas Lunner, Jan Mark de Haan, Jesper Jensen

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3 Citationer (Scopus)

Abstract

In headset and hearing aid applications, it is of interest to retrieve the user's own voice in a noisy environment, e.g. for telephony applications. To do so, the cross-power spectral density (CPSD) of the interference-plus-noise is required. In this paper, a novel maximum likelihood (ML) estimator of the interference-plus-noise CPSD matrix is proposed. The proposed method is able to estimate the interference-plus-noise CPSD matrix, even during signal regions with own voice activity. The method uses a novel procedure for estimating the interference-plus-noise CPSD matrix by first estimating the interference PSD and afterwards the noise PSD in a maximum likelihood sense. Simulation experiments, where the proposed method is compared to other noise CPSD matrix estimators, show that it performs on par or better than competing methods, particularly, in situation where the interferenceto-noise ratio is large.

OriginalsprogEngelsk
TitelICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Antal sider5
ForlagIEEE (Institute of Electrical and Electronics Engineers)
Publikationsdatomaj 2020
Sider6939-6943
Artikelnummer9053988
ISBN (Trykt)978-1-5090-6632-2
ISBN (Elektronisk)978-1-5090-6631-5
DOI
StatusUdgivet - maj 2020
BegivenhedICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Barcelona, Spanien
Varighed: 4 maj 20208 maj 2020

Konference

KonferenceICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Land/OmrådeSpanien
ByBarcelona
Periode04/05/202008/05/2020
NavnInternational Conference on Acoustics Speech and Signal Processing (ICASSP)
ISSN1520-6149

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