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Abstract: The purpose of the present paper is to study how the statistical dispersion of distortion and biomechanical parameters may be used in producing.
Voice Pathologt Grading by Gaussian Mixture Models : Study Cases
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Voice Pathologt Grading by Gaussian Mixture Models : Study Cases. Firenze University Press. Thumbnails Document Outline Attachments. Find: Previous. Next.
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Nov 27, 2021 · Abstract—In this paper we investigate the proprieties of automatic speaker recognition (ASR) to develop a system for voice pathologies ...
Gómez-Vilda, P. | Godino-Llorente, J.I. | Rodellar-Biarge, V. | Fernández-Baíllo, R. Voice Pathologt Grading by Gaussian Mixture Models : Study Cases.
This study focuses on the classification of pathological voice using GMM (Gaussian. Mixture Model) and compares the results to the previous work which was done ...
Missing: grading | Show results with:grading
This work concentrates on developing an accurate and robust feature extraction for detecting and classifying voice pathologies by investigating different ...
Jan 20, 2016 · Dimensionality reduction of a pathological voice quality assessment system based on Gaussian mixture models and short-term cepstral parameters.
The aim of this study is to apply automatic speech recognition (ASR) mechanism to improve the amount of information extracted from the voice and to increase ...
Missing: grading | Show results with:grading
The system uses Gaussian Mixtures Models (GMM) in the classification process. The final part of the paper presents research on the efficiency of speaker ...
This study aims to develop a powerful feature extraction voice pathology detection tool based on Deep Learning.