Pages that link to "Item:Q5168011"
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The following pages link to A new feature constituting approach to detection of vocal fold pathology (Q5168011):
Displaying 12 items.
- Knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion (Q382692) (← links)
- Jitter estimation algorithms for detection of pathological voices (Q965287) (← links)
- A joint time-frequency and matrix decomposition feature extraction methodology for pathological voice classification (Q965424) (← links)
- Linear classifier with reject option for the detection of vocal fold paralysis and vocal fold edema (Q967003) (← links)
- Automatic assessment of pathological voice quality using higher-order statistics in the LPC residual domain (Q983792) (← links)
- Classification of normal swallowing and oropharyngeal dysphagia using wavelet (Q1004215) (← 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)
- Meta-analysis of voice disorders databases and applied machine learning techniques (Q1979643) (← links)
- Inter classifier comparison to detect voice pathologies (Q1981201) (← 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)
