Analysis of factors on voice quality in thyroidectomy patients.

OBJECTIVE: Vocal cord paralysis (VCP) is a serious complication in thyroidectomy operations; however, its management remains unclear. The present study evaluated the voice parameters of patients who underwent surgery using Intraoperative Neurophysiologic Monitoring (IONM). PATIENTS AND METHODS: A total of 52 patients (41 females and 11 males) who underwent a total thyroidectomy operation were evaluated using objective and subjective voice analysis examinations before and after surgery. Acoustic parameters, such as Fundamental Frequency (F0), Shimmer, Jitter, Noise-to-Harmonic ratio (NHR), and aerodynamic parameters, including S/Z ratio and maximum phonation time (MPT), were analyzed. Objective findings, including the VHI-10 (Voice Handicap Index) and V-RQOL (Voice-Related Quality of Life), were also analyzed. The relationship between voice parameters and IONM values was investigated. RESULTS: The objective analysis (acoustic and aerodynamic parameters) showed no difference (p>0.05). However, the subjective analysis, which involved the VHI-10 and V-RQOL measures, revealed a significant difference before and after the operation (p<0.05). The Spearman correlation analysis showed that the NHR postoperative 1st-month parameter negatively correlated (rho=-0.317, p<0.059), while the F0 postoperative 6th-month parameter positively correlated (rho=0.347) with the amplitude difference before and after dissection (Right R2-R1 difference) for the right RLN measured in IONM. CONCLUSIONS: Patients who are planning to undergo a thyroidectomy procedure should undergo voice assessment during both the preoperative and postoperative periods. IONM could improve voice quality outcomes.

Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis.

Voice change is often the first sign of laryngeal cancer, leading to diagnosis through hospital laryngoscopy. Screening for laryngeal cancer solely based on voice could enhance early detection. However, identifying voice indicators specific to laryngeal cancer is challenging, especially when differentiating it from other laryngeal ailments. This study presents an artificial intelligence model designed to distinguish between healthy voices, laryngeal cancer voices, and those of the other laryngeal conditions. We gathered voice samples of individuals with laryngeal cancer, vocal cord paralysis, benign mucosal diseases, and healthy participants. Comprehensive testing was conducted to determine the best mel-frequency cepstral coefficient conversion and machine learning techniques, with results analyzed in-depth. In our tests, laryngeal diseases distinguishing from healthy voices achieved an accuracy of 0.85-0.97. However, when multiclass classification, accuracy ranged from 0.75 to 0.83. These findings highlight the challenges of artificial intelligence-driven voice-based diagnosis due to overlaps with benign conditions but also underscore its potential.

Vocal Range Variations Elicited With a Standard Mandarin Reading Passage in Individuals With Voice Disorders.

PURPOSE: This study examined whether the "Three Bears Passage" (TB), a standard Mandarin reading passage, could elicit significant vocal range variations in individuals with voice disorders. Relative sensitivity of TB versus another existing standard reading passage, "Passage in Mandarin" (PM), for differentiating between individuals with and without voice disorders was also evaluated. METHOD: Forty-two individuals with normal voice and 30 individuals with voice disorders participated in the study. Maximum fundamental frequency (f0), minimum f0, mean f0, f0 range, maximum vocal intensity, minimum intensity, mean intensity, and intensity range of all participants reading aloud the two passages were measured with Praat to construct speech range profiles (SRPs). RESULTS: Significantly larger vocal range was found for TB than for PM in individuals with voice disorders, including significantly higher maximum f0, mean f0, maximum intensity, mean intensity, and significantly larger f0 range and intensity range. Significantly more limited vocal range was observed in individuals with voice disorders than those without, with more obviously restricted SRPs while reading aloud TB compared to PM. Receiver operating characteristic analysis suggested that TB was more sensitive than PM in distinguishing between individuals with and without voice disorders. CONCLUSIONS: Our findings supported the potential of TB as a standard clinical assessment tool for evaluating pathological changes in vocal range. Future studies should explore if therapeutic approaches based on the passage or variations of it could be developed for overcoming functional limitations and restrictions in vocal range for specific voice disorders.

Paediatric voice disorder: who to refer and how to assess? A summary of recent literature.

PURPOSE OF REVIEW: The purpose of this review is to update the reader with recent advances and current opinion on the assessment and management of paediatric voice disorders. RECENT FINDINGS: Access to advanced multidisciplinary paediatric voice clinics has increased over the last decade. Often the assessment is combined between speech therapy/pathology and ENT surgery. Vocal fold nodules remain the most prevalent diagnosis at a paediatric voice clinic, but significant diseases will also present, for example laryngeal papilloma. Recently, more consideration of the psychosocial aspect of voice disorders and evaluation of auditory processing disorders have shown how these can have a negative impact. There also appears to be a lack of parental and teacher awareness of paediatric voice disorders and their significance. SUMMARY: We would recommend multiparametric assessment and analysis of all children with a voice disorder. Most paediatric voice conditions will respond to skilled voice therapy. However, the exact techniques and dosage requires further evaluation and research. Paediatric voice conditions are common and should not be dismissed, as they may represent significant disease, for example papilloma, vagal palsy or have a significant psychosocial impact on the child.

Validity, reliability and reproducibility of the VLS parameters form for the collection of videolaryngostroboscopic basic findings.

OBJECTIVE: The videolaryngostroboscopy parameters form (VLSP form) is a diagnostic tool for the collection of videolaryngostroboscopic basic findings through the evaluation of 12 parameters. The aim of the present study is to preliminarily investigate intra- and inter-rater reliability, validity and responsiveness of the VLSP form. METHODS: A study on a total amount of 160 forms for the evaluation of VLS basic findings was carried out. 80 forms were scored through the VLSP form and 80 with the Voice Vibratory Assessment with Laryngeal Imaging (VALI) form Stroboscopy (S) by four expert phoniatricians, that blindly scored the VLS recordings of 5 subjects without voice disorders and 5 patients with organic voice disorder before and after successful phonosurgery. Intra-rater and inter-rater analysis have been performed for both forms. The scores obtained through VLSP form and VALI form S have been compared to analyse concurrent validity, while VLSP scores before and after phonosurgery have been compared to analyse responsiveness. Finally, each rater annotated the "difficulty" in rating every parameter and its "importance" for the diagnosis. RESULTS: The VLSP form showed good inter- and intra-rater reliability. It showed a good accuracy for the documentation of changes of laryngeal anatomy and function after phonosurgery, similarly to the VALI form S. The 12 parameters of the VLSP form were judged "Slightly Important" in 28.3% of the samples, "Very Important" in 64.8% of the samples, "Not Difficult" in 73.1% of the samples. CONCLUSIONS: The results of the present study suggest that the VLSP form is comparable to the VALI form S for the evaluation of videolaryngostroboscopic parameters and is a valid, reliable and reproducible diagnostic tool. It can help voice clinicians in the evaluation of VLS examinations and it allows for a punctual assessment of modifications in laryngeal anatomy and function in pathological conditions and after phonosurgery.

Voice disorder recognition using machine learning: a scoping review protocol.

INTRODUCTION: Over the past decade, several machine learning (ML) algorithms have been investigated to assess their efficacy in detecting voice disorders. Literature indicates that ML algorithms can detect voice disorders with high accuracy. This suggests that ML has the potential to assist clinicians in the analysis and treatment outcome evaluation of voice disorders. However, despite numerous research studies, none of the algorithms have been sufficiently reliable to be used in clinical settings. Through this review, we aim to identify critical issues that have inhibited the use of ML algorithms in clinical settings by identifying standard audio tasks, acoustic features, processing algorithms and environmental factors that affect the efficacy of those algorithms. METHODS: We will search the following databases: Web of Science, Scopus, Compendex, CINAHL, Medline, IEEE Explore and Embase. Our search strategy has been developed with the assistance of the university library staff to accommodate the different syntactical requirements. The literature search will include the period between 2013 and 2023, and will be confined to articles published in English. We will exclude editorials, ongoing studies and working papers. The selection, extraction and analysis of the search data will be conducted using the 'Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews' system. The same system will also be used for the synthesis of the results. ETHICS AND DISSEMINATION: This scoping review does not require ethics approval as the review solely consists of peer-reviewed publications. The findings will be presented in peer-reviewed publications related to voice pathology.

Self-perception of voice, hearing, and general health in screening for voice changes in older women. / Autopercepção da voz, audição e saúde geral no rastreio de distúrbio vocal em idosas.

PURPOSE: To verify the association between sociodemographic factors, vocal behavior, morbidities, and self-perception of voice, hearing, and general health in older women with voice disorders. METHODS: The sample had 95 older women aged 60 to 84 years (mean of 69,5). They were interviewed with a structured questionnaire on sociodemographic aspects, health, and vocal behavior. The Screening Protocol for Voice Disorders in Older Adults (RAVI) was used to identify the presence of voice disorders. RESULTS: Participants who had finished high school and were retired predominated. The number of older women with voice disorders according to RAVI was 46.3%. Physical sensations such as dry throat, throat clearing, and itchy throat were the most common complaints. The group of older women with voice disorders had worse self-perception of voice quality, hearing, and general health and a higher frequency of upper airway infections than those without voice disorders (p ≤ 0.05). CONCLUSION: The vocal self-assessment measured with RAVI was statistically associated with self-perception of voice quality, hearing, general health, sore throat, sinusitis, and respiratory allergies.

OBJETIVO: Verificar a associação de fatores sociodemográficos, do comportamento vocal, morbidades e autopercepção da voz, auditiva e de saúde geral de idosas com distúrbio vocal. MÉTODO: Participaram 95 idosas com idades entre 60 e 84 anos (média 69,5). Realizou-se uma entrevista com apoio de um questionário estruturado contendo questões sociodemográficas, de saúde e do comportamento vocal. Utilizou-se o Protocolo para Rastreamento de Alterações Vocais em Idosos (RAVI) para identificar a presença de distúrbio vocal. RESULTADOS: Houve o predomínio de participantes com ensino médio completo e aposentadas. O número de idosas que apresentaram distúrbio vocal segundo o RAVI foi de 46,3%. Queixas relacionadas às sensações físicas como garganta seca, pigarro e coceira na garganta foram as mais presentes. O grupo de idosas com distúrbio vocal apresentou pior autopercepção da qualidade vocal, audição, saúde geral e maior frequência de infecções de vias aéreas superiores quando comparadas àquelas sem distúrbio vocal (p≤0,05). CONCLUSÃO: Houve associação estatística entre a autoavaliação vocal mensurada pelo RAVI e a autopercepção da qualidade da voz, da audição, da saúde geral, inflamações de garganta, sinusite e alergias respiratórias.

Current Practices in Voice Data Collection and Limitations to Voice AI Research: A National Survey.

INTRODUCTION: Accuracy and validity of voice AI algorithms rely on substantial quality voice data. Although commensurable amounts of voice data are captured daily in voice centers across North America, there is no standardized protocol for acoustic data management, which limits the usability of these datasets for voice artificial intelligence (AI) research. OBJECTIVE: The aim was to capture current practices of voice data collection, storage, analysis, and perceived limitations to collaborative voice research. METHODS: A 30-question online survey was developed with expert guidance from the voicecollab.ai members, an international collaborative of voice AI researchers. The survey was disseminated via REDCap to an estimated 200 practitioners at North American voice centers. Survey questions assessed respondents' current practices in terms of acoustic data collection, storage, and retrieval as well as limitations to collaborative voice research. RESULTS: Seventy-two respondents completed the survey of which 81.7% were laryngologists and 18.3% were speech language pathologists (SLPs). Eighteen percent of respondents reported seeing 40%-60% and 55% reported seeing >60 patients with voice disorders weekly (conservative estimate of over 4000 patients/week). Only 28% of respondents reported utilizing standardized protocols for collection and storage of acoustic data. Although, 87% of respondents conduct voice research, only 38% of respondents report doing so on a multi-institutional level. Perceived limitations to conducting collaborative voice research include lack of standardized methodology for collection (30%) and lack of human resources to prepare and label voice data adequately (55%). CONCLUSION: To conduct large-scale multi-institutional voice research with AI, there is a pertinent need for standardization of acoustic data management, as well as an infrastructure for secure and efficient data sharing. LEVEL OF EVIDENCE: 5 Laryngoscope, 134:1333-1339, 2024.

Rehabilitation Treatment Specification System for Voice Therapy: Application to Everyday Clinical Care.

PURPOSE: Rehabilitation intervention descriptions often do not explicitly identify active ingredients or how those ingredients lead to changes in patient functioning. The Rehabilitation Treatment Specification System (RTSS) provides guidance to identify the critical aspects of any rehabilitation therapy and supported the development of standardly named ingredients and targets in voice therapy (Rehabilitation Treatment Specification System for Voice Therapy [RTSS-Voice]). This study sought to test the content validity of the RTSS-Voice and determine if the RTSS-Voice can be used to identify commonalities and differences in treatment (criterion validity) across clinicians in everyday clinical practice. METHOD: Five speech-language pathologists from different institutions videotaped one therapy session for 59 patients diagnosed with a voice or upper airway disorder. Specifications were created for each video, and iterative rounds of revisions were completed with the treating clinician and two RTSS experts until consensus was reached on each specification. RESULTS: All 59 sessions were specified without the addition of any targets or ingredients. There were two frequent targets: (a) increased volition and (b) decreased strained voice quality. There were three frequent ingredients: (a) information regarding the patient's capability and motivation to perform a therapeutic behavior, (b) knowledge of results feedback, and (c) opportunities to practice voicing with improved resonance and mean airflow. Across sessions treating vocal hyperfunction, there was large variability across clinicians regarding the types and number of treatment components introduced, types of feedback provided, and vocal practice within spontaneous speech and negative practice. CONCLUSIONS: The RTSS and the RTSS-Voice demonstrated strong content validity, as they comprehensively characterized 59 therapy sessions. They also demonstrated strong criterion validity, as commonalities and differences were identified in everyday voice therapy for vocal hyperfunction across multiple clinicians. Future work to translate RTSS principles and RTSS-Voice terms into clinical documentation can help to understand how clinician and patient variability impacts outcomes and bridge the research-practice gap. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.24796875.

The Minimal Important Difference of Acoustic Voice Quality Index in the Treatment of Voice Disorders.

OBJECTIVES: The acoustic voice quality index (AVQI) is a reliable tool that objectively assesses dysphonia levels using six acoustic parameters. Despite its high criterion-related concurrent validity, diagnostic accuracy, and minimal detectable change derived from test-retest reliability, the minimal important difference (MID) of the AVQI has not been tested before. This study aimed to estimate the MIDs of AVQI for improvement audibly perceived by clinicians and self-reported improvement by patients. METHODS: A retrospective study was conducted on 110 patients who received treatment for voice disorders. Patients completed AVQI and Voice Handicap Index-10 (VHI-10) questionnaires before and after the therapy. The MIDs of the AVQI were estimated using the anchor of either auditory-perceptual judgment of total dysphonia levels by clinicians or the VHI-10 questionnaire by patients. A distribution-based approach was also used to complement the results. RESULTS: First, using the auditory-perceptual anchor, a decrease of 0.95 in the AVQI was estimated as the MID for clinicians' perception, as a result of the receiver operating curve. Then, using the patient-reported anchor, an improvement of 1.36 in the AVQI was estimated as the MID for patients' voice-related disability. The distribution-based approach also ensured the anchor-based results of both the MIDs. CONCLUSIONS: The AVQI is a reliable and valid tool for evaluating voice quality, and a 0.95 decrease in the AVQI represents a meaningful improvement for clinicians' perception, whereas a 1.36 decrease in the AVQI influences patients' self-reported disability. This study contributes to understanding the minimal change necessary for clinicians to make informed decisions and ensure patient satisfaction. LEVEL OF EVIDENCE: 3 Laryngoscope, 134:2805-2811, 2024.

Distúrbio de voz e fatores de risco em profissionais da voz falada: uma revisão integrativa / Voice disorder and risk factors in spoken voice professionals: an integrative review

RESUMO Objetivo Identificar evidências científicas sobre o distúrbio de voz relacionado ao trabalho e fatores de risco, além de apontar os sintomas vocais, instrumentos e métodos de avaliação em profissionais da voz falada. Estratégia de pesquisa Revisão integrativa da literatura, realizada nas bases de dados LILACS, SciELO, MEDLINE/PubMed e Scopus. Critérios de seleção Artigos com profissionais da voz falada, que abordassem os fatores de riscos individuais, organizacionais e/ou ambientais vinculados aos sintomas e/ou distúrbios de voz, estudos observacionais, disponíveis na íntegra, sem restrição ao idioma e ano de publicação. Resultados Foram incluídos 58 estudos, maior publicação entre os anos de 2014 e 2022, predominantemente no Brasil, em destaque, o professor. O método de avaliação mais utilizado foi autoavaliação com o uso dos protocolos, seguido da avaliação perceptivo-auditiva e do exame laringológico. Os fatores de risco mais identificados foram os individuais, seguidos dos organizacionais e ambientais, além de terem sido relatados os sintomas vocais sensoriais e auditivos. Conclusão Os fatores mais autorreferidos são ruído, uso intenso da voz, alterações respiratórias, ser do gênero feminino e práticas vocais inadequadas. Quanto aos sintomas vocais sensoriais, destacam-se garganta seca, pigarro e fadiga vocal, e quanto aos auditivos, rouquidão.

ABSTRACT Purpose To identify scientific evidence about (Work-Related Voice Disorder) and risk factors, as well as to point out vocal symptoms, instruments and evaluation methods in spoken voice professionals. Research strategy Integrative literature review carried out in LILACS, SciELO, MEDLINE/PubMed and Scopus databases. Selection criteria Articles with spoken voice professionals, which addressed individual, organizational and/or environmental risk factors linked to symptoms and/or voice disorders, observational studies, fully available, without restriction to language and year of publication. Results 58 papers were included, the largest publication between the years 2014 and 2022, predominantly in Brazil, with emphasis on the teacher. The most used evaluation method was vocal assessment using self-assessment protocols, followed by auditory-perceptual assessment and laryngological examination. The mostly identified risk factors were individual ones, followed by organizational and environmental ones, in addition to sensory and auditory vocal symptoms having been reported. Conclusion The most often self-reported factors were noise, intense voice use, respiratory changes, being female and inappropriate vocal practices. For sensory vocal symptoms, dry throat, throat clearing and vocal fatigue stand out, and for auditory symptoms, hoarseness.

Vocal tasks for acoustic and/or auditory perceptual analysis for discriminating individuals with and without voice disorders: a systematic review protocol.

OBJECTIVE: The primary objective of the present systematic review is to: (1) identify the current vocal tasks being used for acoustic and/or auditory perceptual analysis to differentiate between individuals with and without voice disorders. The secondary objectives are to: (2) evaluate the evidence of the sensitivity, specificity and accuracy of those vocal tasks for acoustic and/or auditory perceptual analysis in discriminating the individuals with voice disorders from those without; and (3) compare the values between the vocal tasks in discriminating individuals with voice disorders from those without. METHOD AND ANALYSIS: We search the following electronic databases: MEDLINE, EMBASE, CINAHL, Scopus, Web of Science Core Collection, PubMed Central and Google Scholar. Grey literature searches will include ProQuest Dissertations and Theses, ClinicalTrials.gov and the Cochrane Register of Controlled Trials. Websites of professional organisations and textbooks will be hand searched for relevant information related to the research question. Study screening, selection and data extraction will be conducted independently by two reviewers. Any disagreements will be resolved by discussion or by involving a third reviewer.The methodological quality of the included studies will be appraised using the relevant Critical Appraisal Tools by JBI. The clinical guidelines and recommendations for voice assessment by professional bodies will be appraised using the Reporting Items for practice Guidelines in HealThcare (RIGHT) checklist. The findings will be presented in the form of an information matrix with the tasks identified tabulated against the nature of the task, dimensions being tested, and their accuracy, sensitivity, and specificity in identifying individuals with voice problems. ETHICS AND DISSEMINATION: Formal ethics approval is not required. The findings will be presented at national and international conferences and published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42023431634.

Using the recurrence plots as indicators for the recognition of Parkinson's disease through phonemes assessment.

Parkinson's disease (PD) is considered to be the second most common neurodegenerative disease which affects the patients' life throughout the years. As a consequence, its early diagnosis is of major importance for the improvement of life quality, implying that the severe symptoms can be delayed through appropriate clinical intervention and treatment. Among the most important premature symptoms of PD are the voice impairments of articulation, phonation and prosody. The objective of this study is to investigate whether the voice's dynamic behavior can be used as possible indicator for PD. Thus in this work, we employ the recurrence plots (RPs) which derive from the analysis of the three modulated vowels /a/, /e/ and /o/, which belong to the PC-GITA dataset, and are fed as input images to a 3-channel Convolutional Neural Network-based (CNN) architecture, which, finally, differentiates the 50 PD patients from 50 healthy subjects. The experimental results obtained provide evidence that the RP-based approach is a promising tool for the recognition of PD patients through the analysis of voice recordings, with a classification accuracy achieved equal to 87%.

A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection.

Voice is an essential component of human communication, serving as a fundamental medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory patterns can lead to voice disorders, which can have a profound impact on interpersonal interactions. Early detection of voice disorders is crucial for improving voice health and quality of life. This research proposes a novel methodology called VDDMFS [voice disorder detection using MFCC (Mel-frequency cepstral coefficients), fundamental frequency and spectral centroid] which combines an artificial neural network (ANN) trained on acoustic attributes and a long short-term memory (LSTM) model trained on MFCC attributes. Subsequently, the probabilities generated by both the ANN and LSTM models are stacked and used as input for XGBoost, which detects whether a voice is disordered or not, resulting in more accurate voice disorder detection. This approach achieved promising results, with an accuracy of 95.67%, sensitivity of 95.36%, specificity of 96.49% and f1 score of 96.9%, outperforming existing techniques.

Self-perception of the Immediate Impact on the Voice of Gospel Singers after a one-hour Presentation. / Autopercepção do Impacto Imediato na Voz de Cantores Gospel após uma Apresentação de uma hora.

PURPOSE: To investigate the immediate impact on the voice of gospel singers with and without vocal complaints after a one-hour individual presentation. METHODS: Application of an online questionnaire that addressed the following aspects: 1 - Sociodemographic data; 2 - Self-assessment of the ability to sing using the Evaluation of the Ability to Sing Easily (EASE-BR) protocol; 3 - Self-assessment of vocal fatigue symptoms using the Vocal Fatigue Index (VFI) protocol; and 4 - Self-assessment of voice handicap using the Voice Handicap Index 10 (VHI-10) protocol. Participants were divided into two groups: Group with Vocal Complaint (WVC) and Group with no Vocal Complaint (WnVC) based on the total score of the IDV-10. Data underwent descriptive and inferential statistical analysis with a significance level of 5%. RESULTS: The study included 43 gospel singers with a median age of 34 years: 32 were in the WnVC group and 11 were in the WVC group. The WVC group reported hoarseness and experienced more difficulty while singing in the EASE, resulting in higher scores in both the VHI-10 and VFI protocols. A positive correlation was observed between singing difficulty and vocal handicap due to fatigue in amateur gospel singers, with this correlation being stronger within the WnVC group. CONCLUSION: After one hour of performance, singers with vocal complaints exhibited higher rates of vocal fatigue, vocal disadvantage, and greater difficulty in singing. Singers without complaints may have their ability to sing impaired by vocal fatigue. Variations in singing ability and vocal handicaps in amateur gospel singers may be directly related to vocal fatigue.

OBJETIVO: Investigar o impacto imediato na voz de cantores gospel com e sem queixa vocal após uma apresentação individual de uma hora. MÉTODO: Aplicação de um questionário online que abordou os seguintes aspectos: 1 - Dados sociodemográficos; 2 ­ Autoavaliação da habilidade de cantar pelo protocolo Evaluation of the Ability to Sing Easily (EASE-BR); 3 - Autoavaliação de sintomas de fadiga vocal pelo Índice de Fadiga Vocal (IFV); e 4 - Autoavaliação da desvantagem vocal pelo protocolo Índice de Desvantagem Vocal 10 (IDV-10). Os participantes foram divididos em dois grupos: Grupo Com Queixa (CQ) e Grupo Sem Queixa (SQ) com base no escore total do IDV-10. Os dados passaram por análise estatística descritiva e inferencial considerando o nível de significância de 5%. RESULTADOS: Participaram 43 cantores gospel com idade mediana de 34 anos, divididos entre 32 do grupo SQ e 11 do grupo CQ. O grupo CQ autorrelatou rouquidão e maior dificuldade ao cantar no EASE e maiores escores nos protocolos IDV-10 e IFV. Foi evidenciada correlação positiva entre a dificuldade ao cantar e a desvantagem vocal com a fadiga de cantores amadores gospel, sendo que essa correlação foi maior para o grupo SQ. CONCLUSÃO: Cantores com queixa vocal apresentaram maiores índices de fadiga vocal, desvantagem vocal e maior dificuldade para cantar após uma hora de apresentação. Cantores sem queixa podem ter a habilidade de cantar prejudicada pela fadiga vocal. Variações na habilidade ao cantar e desvantagens vocais de cantores amadores gospel podem ter relação direta com a fadiga vocal.

Remote Voice Therapy With an Oscillatory Positive Expiratory Pressure Device in Subjects With Vocal Fatigue: A Randomized Controlled Trial.

PURPOSE: The present study aimed at assessing the efficacy of remote voice therapy (telepractice) implemented with Shaker Medic Plus device in subjects with vocal fatigue. METHOD: Thirty-six participants were initially enrolled in this study. Twenty-four participants with vocal fatigue were finally randomly assigned to one of two treatment groups: (a) voice treatment with Shaker Medic Plus device plus vocal hygiene program (n = 12) and (b) voice treatment with water resistance therapy (WRT) plus vocal hygiene program (n = 12). Laryngoscopic assessment was conducted on all subjects. Before and after voice therapy, participants underwent (a) self-assessment of voice: Vocal Fatigue Index and Vocal Tract Discomfort Scale and (b) instrumental assessment with aerodynamic, acoustic, and electroglottographic measures. The treatment period included six voice therapy sessions within 6 weeks. Each session lasted 30 min. For both groups, exercises consisted of a sequence of nine phonatory tasks performed with Shaker Medic Plus (experimental group) and WRT (control group). Comparisons for all variables were performed between the experimental group and control group. RESULTS: Significant improvements were found for self-reported variables when comparing pre- and postmeasures for both groups. No significant differences were found when comparing groups. No significant main effects or interactions were observed for any of the observed instrumental variables. CONCLUSIONS: Remote physiologic voice therapy with Shaker Medic Plus device and water resistance therapy seem to be both effective to improve voice in subjects diagnosed with vocal fatigue. No differences should be expected between these therapeutic protocols when treating patients with vocal fatigue. Moreover, both are effective at reducing tiredness of voice, voice avoidance, physical discomfort associated with voicing, subjective perception of sensory discomfort in throat, and reduction of physical, emotional, and functional impact of voice problems.

Voice analysis results in individuals with Alzheimer's disease: How do age and cognitive status affect voice parameters?

BACKGROUND: Reports of acoustic changes in the voice in individuals with Alzheimer's disease (AD) and the relationship of acoustic changes with age and cognitive status are still limited. OBJECTIVE: This study aims to determine the changes in voice analysis results in AD, as well as the effects of age and cognitive status on voice parameters. METHODS: The study included 47 (AD: 30; healthy: 17) women with a mean age of 76.13 years. The acoustic voice parameters mean fundamental frequency (F0), relative average perturbation (RAP), jitter percent (Jitt), shimmer percent (Shim), and noise-to-harmonic ratio were detected. The mini-mental state examination (MMSE) was utilized. RESULTS: F0, Shim, Jitt, and RAP values were found to be statistically significantly higher in individuals with AD compared to healthy individuals. There was a significant negative correlation between MMSE and F0, Jitt, RAP and Shim, and the MMSE score had a significant negative effect on F0, Jitt, and RAP (p < .05). CONCLUSION: Cognitive status was discovered to significantly impact the voice, with fundamental frequency and frequency and amplitude perturbations increasing as cognitive level decreases. In order to contribute to the therapy process for voice disorders, cognitive functions can be focused on in addition to voice therapy.

[Advances in application research on assessment methods of vocal fatigue].

Vocal fatigue（VF） is the common clinical symptom of voice diseases. It can also be a separate symptom and is considered to be a signal for the body to rest and to avoid pathological damage to the vocal cords. Therefore, the early identification and evaluation of vocal fatigue is of great value to the early prevention and treatment of vocal diseases. In recent years, there are many researches on the evaluation methods of vocalization fatigue. We searched the relevant literature and summarized the application status of vocal fatigue assessment methods, in order to provide reference for the selection and development of vocal fatigue assessment tools in clinical practice.