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A non-intrusive objective measurement for estimating the quality of output speech without input clean speech is proposed for both narrowband and wideband speech based on Gaussian mixture model (GMM) and support vector regression (SVR). Perceptual linear predictive (PLP) features are extracted and clustered by GMM as an artificial reference model from clean speech. Input speech is separated into three...
A non-intrusive objective assessment method is proposed to estimate the quality of output speech without the input reference speech based on narrowband speech test database. From clean speech Perceptual Linear Predictive (PLP) features are extracted and clustered by Gaussian Mixture Model (GMM) as an artificial reference model. Input speech is separated into three classes, for which the consistency...
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