On the Influence of Inharmonicities in Model-Based Speech Enhancement

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Abstract

In relation to speech enhancement, we study the influence of
modifying the harmonic signal model for voiced speech to
include small perturbations in the frequencies of the harmonics.
A perturbed signal model is incorporated in the nonlinear
least squares method, the Capon filter and the amplitude and
phase estimation filter. Results show that it is possible to increase
the performance, in terms of the signal reduction factor
and the output signal-to-noise ratio, at the cost of increased
complexity in the estimation of the model parameters. It is
found that the perturbed signal model performs better than the
harmonic signal model at input signal-to-noise ratios above
approximately -10 dB, and that they are equally good below.
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Details

In relation to speech enhancement, we study the influence of
modifying the harmonic signal model for voiced speech to
include small perturbations in the frequencies of the harmonics.
A perturbed signal model is incorporated in the nonlinear
least squares method, the Capon filter and the amplitude and
phase estimation filter. Results show that it is possible to increase
the performance, in terms of the signal reduction factor
and the output signal-to-noise ratio, at the cost of increased
complexity in the estimation of the model parameters. It is
found that the perturbed signal model performs better than the
harmonic signal model at input signal-to-noise ratios above
approximately -10 dB, and that they are equally good below.
Original languageEnglish
JournalProceedings of the European Signal Processing Conference
ISSN2076-1465
StatePublished - 2013
Publication categoryResearch
Peer-reviewedYes
EventEuropean Signal Processing Conference EUSIPCO 2013 - Marrakech, Moroco
Duration: 9 Sep 201313 Sep 2013

Conference

ConferenceEuropean Signal Processing Conference EUSIPCO 2013
CityMarrakech, Moroco
Period09/09/201313/09/2013

    Research areas

  • Single-channel speech enhancement, perturbed signal models, inharmonicity, parameter estimation

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