Pages that link to "Item:Q983792"
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The following pages link to Automatic assessment of pathological voice quality using higher-order statistics in the LPC residual domain (Q983792):
Displaying 10 items.
- Jitter estimation algorithms for detection of pathological voices (Q965287) (← links)
- Automated intelligibility assessment of pathological speech using phonological features (Q965320) (← links)
- A joint time-frequency and matrix decomposition feature extraction methodology for pathological voice classification (Q965424) (← links)
- Analysis of acoustic features in speakers with cognitive disorders and speech impairments (Q966991) (← links)
- Speech confusion index \((\Phi )\): a confusion-based speech quality indicator and recognition rate prediction for dysarthria (Q979869) (← links)
- Back-and-forth methodology for objective voice quality assessment: from/to expert knowledge to/from automatic classification of dysphonia (Q983845) (← links)
- Relative entropy measures applied to healthy and pathological voice characterization (Q1004222) (← links)
- An improved method for voice pathology detection by means of a HMM-based feature space transformation (Q1957869) (← links)
- The use of Arabic vowels to model the pathological effect of influenza disease by wavelets (Q2283765) (← links)
- A Bayesian decision analysis approach to assess voice disorder risks by using acoustic features (Q5208134) (← links)
