Exploring Novel Objective Voice Assessment Parameters: A Pilot Study

This publication has 11 references indexed in Scilit:

• A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection
  Scientific Reports, 2023
• Social Determinants of Health: Implications for Voice Disorders and Their Treatment
  American Journal of Speech-Language Pathology, 2023
• Mobile Phone Applications Voice Tools and Voice Pitch Analyzer Validated With LingWAVES to Measure Voice Frequency
  Journal of Voice, 2022
• The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection
  Journal of Voice, 2022
• Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns
  Computers in Biology and Medicine, 2021
• Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
  Neural Networks, 2020
• Validation of the Dysphonia Severity Index in the Dr. Speech Program
  Journal of Voice, 2019
• Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features
  Journal of Medical Systems, 2019
• Objective measurement of mucosal wave parameters in diagnosing benign lesions of the vocal folds
  Logopedics Phoniatrics Vocology, 2018
• Automatic Detection of Laryngeal Pathologies in Records of Sustained Vowels by Means of Mel-Frequency Cepstral Coefficient Parameters and Differentiation of Patients by Sex
  Folia Phoniatrica et Logopaedica, 2009