In this paper, we focus on the automatic assessment of pathological voice quality by identifying the four attributes of Roughness, Breathiness, Asthenia, and ...
The work presented in [30] focused on automatic assessment of pathological voice quality by identifying four attributes: roughness, breathiness, asthma, and ...
This document summarizes a study on automatically identifying pathological voice quality based on the GRBAS scale. The proposed method uses higher-order local ...
Automatic objective assessment can serve as a useful tool for diagnosis of pathological voices. Acoustic analysis can be useful in determining severity of ...
Missing: identification categorization.
Automatic Assessment of Pathological Voice Quality Using Multidimensional Acoustic Analysis Based on the GRBAS Scale · Medicine, Engineering. Journal of Signal ...
Nov 25, 2022 · Automatic assessment of pathological voice quality using multidimensional acoustic analysis based on the GRBAS scale ... pathology detection ...
Missing: identification categorization.
In this paper, the automatic assessment of voice quality is addressed by means of short-term Mel cepstral parameters (MFCC), and learning vector quantization ( ...
Missing: pathological | Show results with:pathological
Oct 22, 2024 · This paper investigates the performance of an automatic system for voice pathology detection when the voice samples have been compressed in MP3 ...
Missing: categorization. | Show results with:categorization.
... (GRBAS) scale, are the gold standard for the quantitative evaluation of pathological voice quality. However, the evaluation is subjective; thus, the ratings ...
Missing: identification categorization.
Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data. 2022 ...
Missing: identification categorization.