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.
Humans ; Voice Quality ; Voice Disorders/diagnosis* ; Vocal Cords ; Surveys and Questionnaires ; Dysphonia/diagnosis*

Parkinson's disease (PD) is a widespread degenerative syndrome that affects the nervous system. Its early appearing symptoms include tremor, rigidity, and vocal impairment (dysphonia). Consequently, speech indicators are important in the identification of PD based on dysphonic signs. In this regard, computer-aided-diagnosis systems based on machine learning can be useful in assisting clinicians in identifying PD patients. In this work, we evaluate the performance of machine learning based techniques for PD diagnosis based on dysphonia symptoms. Several machine learning techniques were considered and trained with a set of twenty-two voice disorder measurements to classify healthy and PD patients. These machine learning methods included linear discriminant analysis (LDA), k nearest-neighbors (k-NN), naïve Bayes (NB), regression trees (RT), radial basis function neural networks (RBFNN), support vector machine (SVM), and Mahalanobis distance classifier. We evaluated the performance of these methods by means of a tenfold cross validation protocol. Experimental results show that the SVM classifier achieved higher average performance than all other classifiers in terms of overall accuracy, G-mean, and area under the curve of the receiver operating characteristic plot. The SVM classifier achieved higher performance measures than the majority of the other classifiers also in terms of sensitivity, specificity, and F-measure statistics. The LDA, k-NN and RT achieved the highest average precision. The RBFNN method yielded the highest F-measure.; however, it performed poorly in terms of other performance metrics. Finally, t tests were performed to evaluate statistical significance of the results, confirming that the SVM outperformed most of the other classifiers on the majority of performance measures. SVM is a promising method for identifying PD patients based on classification of dysphonia measurements.
Bays ; Classification ; Diagnosis ; Dysphonia ; Humans ; Machine Learning ; Methods ; Nervous System ; Parkinson Disease ; ROC Curve ; Sensitivity and Specificity ; Support Vector Machine ; Trees ; Tremor ; Voice Disorders

BACKGROUND AND OBJECTIVES: The purpose of this study was to investigate the criterion-related concurrent validity of two standardized auditory-perceptual assessments and the Acoustic Voice Quality Index (AVQI) for measuring dysphonia severity in patients with vocal cord paralysis (VCP). MATERIALS AND METHODS: Total 210 patients with VCP and 236 normal voice subjects were asked to sustain the vowel [a:] and to read aloud the Korean text “Walk”. A 2 second mid-vowel portion of the sustained vowel and two sentences (with 26 syllables) were recorded. And then voice samples were edited, concatenated, and analyzed according to Praat script. Two standardized auditory-perceptual assessment (GRBAS and CAPE-V) were performed by three raters. RESULTS: The VCP group showed higher AVQI, Grade (G) and Overall Severity (OS) values than normal voice group. And the correlation among AVQI, G, and OS ranged from 0.904 to 0.926. In ROC curve analysis, cutoff values of AVQI, G, and OS were < 3.79, < 0.00, and < 30.00, respectively, and the AUC of each analysis was over .89. CONCLUSION: AVQI and auditory evaluation can improve the early screening ability of VCP voice and help to establish effective diagnosis and treatment plan for VCP-related dysphonia.
Acoustics* ; Area Under Curve ; Diagnosis ; Dysphonia* ; Humans ; Mass Screening ; ROC Curve ; Vocal Cord Paralysis* ; Vocal Cords* ; Voice ; Voice Quality

BACKGROUND AND OBJECTIVES: Adductor type spasmodic dysphonia (ADSD) is neurogenic disorder and focal laryngeal dystonia, while muscle tension dysphonia (MTD) is caused by functional voice disorder. Both ADSD and MTD may be associated with excessive supraglottic contraction and compensation, resulting in a strained voice quality with spastic voice breaks. The aim of this study was to determine the utility of spectrogram analysis in the differentiation of ADSD from MTD. MATERIALS AND METHODS: From 2015 through 2017, 17 patients of ADSD and 20 of MTD, underwent acoustic recording and phonatory function studies, were enrolled. Jitter (frequency perturbation), Shimmer (amplitude perturbation) were obtained using MDVP (Multi-dimensional Voice Program) and GRBAS scale was used for perceptual evaluation. The two speech therapist evaluated a wide band (11,250 Hz) spectrogram by blind test using 4 scales (0–3 point) for four spectral findings, abrupt voice breaks, irregular wide spaced vertical striations, well defined formants and high frequency spectral noise. RESULTS: Jitter, Shimmer and GRBAS were not found different between two groups with no significant correlation (p>0.05). Abrupt voice breaks and irregular wide spaced vertical striations of ADSD were significantly higher than those of MTD with strong correlation (p < 0.01). High frequency spectral noise of MTD were higher than those of ADSD with strong correlation (p < 0.01). Well defined formants were not found different between two groups. CONCLUSION: The wide band spectrograms provided visual perceptual information can differentiate ADSD from MTD. Spectrogram analysis is a useful diagnostic tool for differentiating ADSD from MTD where perceptual analysis and clinical evaluation alone are insufficient.
Acoustics ; Compensation and Redress ; Diagnosis, Differential ; Dysphonia* ; Dystonia ; Humans ; Muscle Spasticity ; Muscle Tonus* ; Noise ; Voice ; Voice Disorders ; Voice Quality ; Weights and Measures

BACKGROUND AND OBJECTIVES: The purpose of this study was to compare the usefulness of Cepstral peak prominence (CPP) with parameter of Multiple Dimensional Voice Program (MDVP) in evaluating unilateral vocal fold paraylsis patients with subjective voice impairment. MATERIALS AND METHODS: From July 2014 to August 2016, 37 patients with unilateral vocal fold paralysis who had been diagnosed with unilateral vocal fold paralysis and had received two or more voice tests before and after the diagnosis were evaluated for maximum phonation time (MPT), MDVP and CPP. Respectively. Voice tests were performed with short vowel /a/ and paragraph reading. RESULTS: The CPP-a (CPP with vowel /a/) and CPP-s (CPP with paragraph reading) of the Cepstrum were statistically negatively correlated with G, R, B, and A before the voice therapy. Jitter, Shimmer, and NHR of MDVP were positively correlated with G, R, B. Jitter, Shimmer, and NHR of the MDVP were significantly correlated with the Cepstrum index. G, B, A and CPP-a and CPP-s showed a statistically significant negative correlation and a somewhat higher correlation coefficient between 0.5 and 0.78. On the other hand, in MDVP index, there was a positive correlation with G and B only with Jitter of 0.4. CONCLUSION: CPP can be an important evaluation tool in the evaluation of speech in the unilateral vocal cord paralysis when speech energy changes or the cycle is not constant during speech.
Diagnosis ; Dysphonia* ; Hand ; Humans ; Paralysis* ; Phonation ; Vocal Cord Paralysis ; Vocal Cords* ; Voice

Voice disorder is classified into three categories, structural, neurogenic and functional dysphonia. Neurogenic dysphonia refers to a disruption in the nerves controlling the larynx. Common examples of this include complete or partial vocal cord paralysis, spasmodic dysphonia. Also it occurs as part of an underlying neurologic condition such as Parkinson's disease, myasthenia gravis, Lou Gehrig's disease or disorder of the central nervous system that causes involuntary movement of the vocal folds during voice production. Functional dysphonia is a voice disorder in the absence of structual or neurogenic laryngeal characteristics. A near consensus exist that Muscle tension dysphonia (MTD) is functional voice disorder wherein hyperfunctional laryngeal muscle activity whereas Spasmodic dysphonia (SD) is neurogenic, action-induced focal laryngeal dystonia including several subtype. Both Adductor type spasmodic dysphonia (AdSD) and MTD may be associated with excessive supraglottic contraction and compensation, resulting in a strained voice quality with spastic voice breaks. It makes these two disorders extremely difficult to differentiate based on clinical interpretation alone. Because treatment for AdSD and MTD are quite different, correct diagnosis is important. Clinician should be aware of the specific vocal characteristics of each disease to improve therapeutic outcome.
Amyotrophic Lateral Sclerosis ; Central Nervous System ; Compensation and Redress ; Consensus ; Diagnosis ; Diagnosis, Differential* ; Dyskinesias ; Dysphonia* ; Dystonia ; Laryngeal Muscles ; Larynx ; Muscle Spasticity ; Muscle Tonus ; Myasthenia Gravis ; Parkinson Disease ; Vocal Cord Paralysis ; Vocal Cords ; Voice ; Voice Disorders ; Voice Quality

Chronic refractory cough is defined as a cough that persists despite guideline based treatment. It is seen in 20-46% of patients presenting to specialist cough clinics and it has a substantial impact on quality of life and healthcare utilization. Several terms have been used to describe this condition, including the recently introduced term cough hypersensitivity syndrome. Key symptoms include a dry irritated cough localized around the laryngeal region. Symptoms are not restricted to cough and can include globus, dyspnea, and dysphonia. Chronic refractory cough has factors in common with laryngeal hypersensitivity syndromes and chronic pain syndromes, and these similarities help to shed light on the pathophysiology of the condition. Its pathophysiology includes cough reflex sensitivity, central sensitization, peripheral sensitization, and paradoxical vocal fold movement. Chronic refractory cough often occurs after a viral infection. The diagnosis is made once the main disease that causes chronic cough have been excluded (or treated) and cough remains refractory to medical treatment. Treatments include speech pathology interventions using techniques adapted from the treatment of hyperfunctional voice disorders, as well as the use of centrally acting neuromodulators such as gabapentin and pregabalin. Potential new treatments in development also show promise.
Central Nervous System Sensitization ; Chronic Pain ; Cough* ; Delivery of Health Care ; Diagnosis ; Dysphonia ; Dyspnea ; Humans ; Hypersensitivity ; Neurotransmitter Agents ; Pregabalin ; Quality of Life ; Reflex ; Specialization ; Speech-Language Pathology ; Vocal Cords ; Voice Disorders

Voice is a physical phenomenon, generated by vocal fold and expiratory airflow. Dysphonia should come from abnormal vocal fold and airflow. Occassionally larynx looks normal in show, but it is actually not. There should be undetected structural or functional abnormalities. So when ENT doctors face dysphonia patients who looks normal larynx, should make a diagnosis through close observation. In this review article we present some dysphonia diseases which looks normal larynx. For example vocal fatigue, vocal fold paresis, posterior glottic diastasis, muscle tension dysphonia and psychogenic dysphonia.
Diagnosis ; Diagnosis, Differential* ; Dysphonia* ; Fatigue ; Humans ; Larynx* ; Muscle Tonus ; Paresis ; Physical Phenomena ; Pulmonary Ventilation ; Vocal Cords ; Voice

An irritable larynx syndrome is characterized by a sudden episodic dyspnea and dysphonia that is difficult to diagnose, and patients are often treated unnecessarily and/or too much. A correct diagnosis can be made by monitoring the larynx closing in the reversed direction during inhalation and posterior chink with videolaryngoscopy and by measuring a decrease in air flow volume during inhalation with a lung function test. Patients can be effectively treated with thorough differential diagnosis. Medications targeting precipitating factors, physical therapy sessions to improve abnormal larynx movement, counseling to reduce patients'anxiety rising from dyspnea, and etc. can effectively alleviate symptoms.
Behavior Therapy ; Counseling ; Diagnosis ; Diagnosis, Differential ; Dysphonia ; Dyspnea* ; Humans ; Inhalation ; Larynx* ; Precipitating Factors ; Respiratory Function Tests ; Vocal Cord Dysfunction

Myasthenia gravis (MG) is an autoimmune disease that affects neuromuscular junctions and usually manifests with muscle weakness that exhibits diurnal variability. However, MG can present with atypical symptoms, including very rarely cases presenting with a flaccid type of dysphonia. We report the first case of spasmodic dysphonia with a final diagnosis of generalized MG, which occurred in a 32-year-old female.
Adult ; Autoimmune Diseases ; Diagnosis ; Dysphonia* ; Female ; Humans ; Muscle Weakness ; Myasthenia Gravis* ; Neuromuscular Junction ; Voice Quality