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.
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 language | English |
|---|---|
| Journal | Proceedings of the European Signal Processing Conference |
| ISSN | 2076-1465 |
| Publication status | Published - 2013 |
| Event | European Signal Processing Conference EUSIPCO 2013 - Marrakech, Moroco Duration: 9 Sept 2013 → 13 Sept 2013 |
Conference
| Conference | European Signal Processing Conference EUSIPCO 2013 |
|---|---|
| City | Marrakech, Moroco |
| Period | 09/09/2013 → 13/09/2013 |
Keywords
- Single-channel speech enhancement, perturbed signal models, inharmonicity, parameter estimation