Summary
Voice is a complex and multidimensional phenomenon of interest to different disciplines.
Divergent terminologies and, consequently, classification systems constitute, historically,
a difficulty in this field of knowledge, which limits communication between professionals
from different countries, backgrounds, and clinical experiences, and well as limiting
clinical management and discussion of scientific research findings. This article aims
to map and analyze the different diagnostic classifications in voice by describing
the findings of a scoping review, consisting of both electronic and manual searches.
The results are presented in two parts. In Part A of this article, we explore propositions for comprehensive diagnostic classifications,
which involve theoretical frameworks for the constitution of each proposal. The included
studies were classified as either articles with theoretical propositions, called G1,
or articles using automated computerized classification systems called G2. A total
of 44 articles were included: 27 in G1 and 17 in G2. In G1, we found studies from
1947 to 2021, most of which were from the USA, the authors having created theoretical
propositions on the subject, considering mainly the etiology of vocal disorder. In
G2, we found studies from 2009 onwards, emphasizing automated extraction of acoustic
measurements and machine learning to create classification systems. G1 shows the propositions
of classifications ranging from two to 11 main groups, each with possible subgroups.
In G2, the classifications ranged from four to seven groups, showing preference to
distinguish them by descriptions of laryngeal conditions. Conclusion: There is limited
convergence between the different theoretical classifications, which is highlighted
by the need to create different subgroups, or categories, to include different vocal
disorders. The studies with a computerized approach reduce this variability to a certain
extent; however, although promising, they should consider theoretical foundations
in the proposition of classifications to be applicable to clinical setting.
Key words
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of VoiceAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
REFERENCES
- Principles of nomenclature and of classification of speech and voice disorders.J Speech Disord. 1947; 12: 17-22
- Classification systems of voice disorders: a review of the literature.Lang Speech Hear Serv Sch. 1984; 151690174
- Verdolini K. Rosen CA Branski RC Classification Manual of Voice Disorders – I. Special Interest Division 3, Voice and Voice Disorders. ASHA, Rockville2006
- Malregulative' rather than Functional' Dysphonia: a new etiological terminology framework for phonation disorders – a position paper by the Union of European Phoniatricians (UEP).J Voice. 2022; 36: 50-53https://doi.org/10.1016/j.jvoice.2020.04.032
- On the terminology of voice research.J Voice. 1992; 6: 188-193
- Voice Disorders and Their Management.2nd ed. Springer, 1991
- A summary of the clinical practice guideline for the diagnosis and management of voice disorders, 2018 in Japan.Auris Nasus Larynx. 2020; 47: 7-17
- The Voice and Its Disorders.5th edition. Wurr, London1992
- Voz Falada: Estudo, Avaliação e Tratamento.Atheneu, Rio de Janeiro1990
- Classification of voice pathology.Folia Phoniatr Logop. 1996; 48: 301-308
- Development of a modified diagnostic classification system for voice disorders with inter-rater reliability study.Logoped Phoniatr Vocol. 2007; 32: 99-112
- Voice self-assessment protocols: different trends among organic and behavioral dysphonias.J Voice. 2017; 31: 112.e13-112.e27https://doi.org/10.1016/j.jvoice.2016.03.014
- The 2016 G. Paul moore lecture: lessons in voice rehabilitation: journal of voice and clinical practice.J Voice. 2019; 33: 669-681https://doi.org/10.1016/j.jvoice.2018.02.020
- Voice-Speech-Language Clinical Communicology: Its Physiology and Pathology.Wadsworth, Belmont1965
- Organic Voice Disorders: Assessment and Treatment.Cengage Learning, 1971
- Psychogenic Voice Disorders and Cognitive-Behavior Therapy.Singular Publishing Group, 1993
- Understanding and Treating Psychogenic Voice Disorder: A CBT Framework.Willey, 2007
- The Voice and Voice Therapy.10th edition. Pearson, 2019
- Aronson AE Bless DM Clinical Voice Disorders. Thieme, 2009
- Classification and approach to patients with functional voice disorders.Ann Otol Rhinol Laryngol. 1982; 91
- Vocal folds pathologies classification using Naïve Bayes Networks.in: Proceedings of the 6th International Conference on Systems and Control. University of Batna, Algeria2017 (May 7-9)
- Nomenclature of voice disorders and vocal pathology.Otolaryngol Clin North Am. 2000; 33: 1035-1045https://doi.org/10.1016/S0030-6665(05)70262-0
- GALP Qualifier scale: initial considerations to classify a voice problem.Folia Phoniatr Logop. 2020; 72: 402-410https://doi.org/10.1159/000502772
- Two-dimensional scheme for arranging voice disorders.JAMA Otolaringology-Head Neck Surg. 2022; 148: 139-144https://doi.org/10.1001/jamaoto.2021.3540
- Hierarchical classification ans system combination for automaticalle identifying physiological and neuromuscular laryngeal pathologies.J Voice. 2017; 31: 384e9-384e14https://doi.org/10.1016/j.jvoice.2016.09.003
- Recurrence quantification analysis of glottal signal as non linear tool for pathological voice assessment and classification.Int Arab J Inf Technol. 2020; 16https://doi.org/10.34028/iajit/17/6/4
- Classification of voice disorders using i-Vector Analysis.in: International Conference on Communication, Information and Computing Techonology (ICCICT), Mumbai, India2018 (Feb 2-3)
- An intelligent health care system for detection and classification to discriminate vocal fold disorders.Future Gener Comput Syst. 2018; 85: 19-28
- A group decision optimization analogy-based deep learning architecture for multiclass pathology classification in a voice signal.IEEE Sensors J. 2021; 21: 8100-8115
- Voice pathology assessment systems for dysphonic patients: detection, classification, and speech recognition.IETE J Res. 2014; 60: 156-166
- Waevelet sub-band features for voice disorder detection and classification.Multimedia Tools Appl. 2020; 79: 28499-28523
- A real-time application to detect human voice disorders.in: International Conference on Decision Aid and Sciences Application (DASA). 2020https://doi.org/10.1109/DASA51403.2020.9317268
- Voice Pathology analysis using DT-CWPT and ReliefF algorithm.J Phys.: Conf. Ser. 2019; 1372012029
- Decoding phonation with artificial intelligence (DeP AI): proof of concept.Laryngoscope Investig Otolaryngol. 2019; 4: 328-334https://doi.org/10.1002/lio2.259.eCollection-2019-Jun
- Automatic voice pathology detection and classification using vocal tract area irregularity.Biocybernetics Biomed Eng. 2016; 26: 309-317
- Demographic and symptomatic features of voice disorders and their potential application in classification using machine learning algorithms.Folia Phoniatr Logop. 2018; 70: 174-182
- Using modulation spectra for voice pathology detecton and classification.in: 31st Annual International Conference of the IEEE EMBS, Minneapolis, Minnesota, USA2009 (September 2-6)
- Voice pathologies classification and detection using EMD-DWT analysis based on higher order statistic features.IRMB. 2020; 41: 161-171
- Analysis and classification of voice pathologies using glottal signal parameters.J Voice. 2016; 30: 549-556
- Optimization of dual-tree complex wavelet packet based entropy features for voice pathologies detection.Jurnal teknologi. 2020; 8: 21-28
- A voz do Especialista. 1. Revinter, 2001
- Functional voice disorders: clinical presentations and differential diagnosis.Handbook Clin Neurol. 2016; 139: 389-405https://doi.org/10.1016/B978-0-12-801772-2.00034-5
- Diagnóstico y tratamiento de los trastornos de la voz.Garsi, Madri1996
- Disphonies fonctionelles.Folia Phoniatr. 1962; 14: 150-205
- Functional voice disorders.StatPearls [Internet]. StatPearls Publishing, Treasure Island2022
Article info
Publication history
Published online: December 03, 2022
Accepted:
November 10,
2022
Publication stage
In Press Corrected ProofIdentification
Copyright
© 2022 The Voice Foundation. Published by Elsevier Inc. All rights reserved.