A voice denoising approach is proposed based on low order singular value decomposition of matrices whose entries come from sampled speech data frames. Objective quality indexes are proposed and results are presented concerning vocalic sentences.
Iadanza, E., Dori, F., Manfredi, C., Dubini, S. (2003). Hoarse voice denoising for real-time DSP implementation: continuous speech assessment. In Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2003 (pp.69-72). Firenze : Firenze University Press.
Hoarse voice denoising for real-time DSP implementation: continuous speech assessment
Iadanza E.;
2003-01-01
Abstract
A voice denoising approach is proposed based on low order singular value decomposition of matrices whose entries come from sampled speech data frames. Objective quality indexes are proposed and results are presented concerning vocalic sentences.
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/11365/1215408