View clinical trials related to Dysphonia.
Filter by:One initial study has shown that Botulinum Toxin (BT) in combination with zinc supplementation may increase the duration of effects BT treatment. This initial study was in the context of facial aesthetics. The purpose of the present study is to determine the effect, if any, of oral zinc supplementation prior to BT in the treatment of spasmodic dysphonia. If positive effects will be observed, this would help reduce the burden of disease for these patients.
The goal of this clinical trial is to determine and compare the effects of different voice therapy programs in children with vocal fold nodules. Vocal fold nodules are non-cancerous growths on the vocal folds which cause hoarseness. The main questions this trial aims to answer are: - What are the short-term effects of the new voice therapy program 'straw phonation' and a more traditional 'resonant voice therapy' program on (a) the vocal quality, (b) the size of the growths on the vocal folds, and (c) the overall functioning in children with vocal fold nodules? During straw phonation exercises, you make sound through a drinking straw. During resonant voice therapy exercises or 'humming', you make an 'm' sound as you breathe out. - What are the long-term effects of these voice therapy programs? Participants will receive a short-term intensive voice therapy program of four days. The researchers will compare the straw phonation group, resonant voice therapy group and control group to see if voice therapy works well in treating children with vocal fold nodules. The researchers hypothesize that straw phonation will have better results than resonant voice therapy. Straw phonation exercises are easier for children because they use an external tool (the straw) and less self-correction is needed.
The development of Artificial Intelligence (AI), the evolution of voice technology, progresses in audio signal analysis, and natural language processing/understanding methods have opened the way to numerous potential applications of voice, such as the identification of vocal biomarkers for diagnosis, classification or to enhance clinical practice. More recently, researches focused on the role of the audio signal of the voice as a signature of the pathogenic process. Dysphonia indicates that some negative changes have occurred in the voice production. The overall prevalence of dysphonia is approximately 1% even if the actual rates may be higher depending on the population studied and the definition of the specific voice disorder. Voice health may be assessed by several acoustic parameters. The relationship between voice pathology and acoustic voice features has been clinically established and confirmed both quantitatively and subjectively by speech experts. The automatic systems are designed to determine whether the sample belongs to a healthy subject or a non-healthy subject. The exactness of acoustic parameters is linked to the features used to estimate them for speech noise identification. Current voice searches are mostly restricted to basic questions even if with broad perspectives. The literature on vocal biomarkers of specific vocal fold diseases is anecdotal and related to functional vocal fold disorders or rare movement disorders of the larynx . The most common causes of dysphonia are the Benign Lesions of the Vocal Fold (BLVF). Currently, videolaryngostroboscopy, although invasive, is the gold standard for the diagnosis of BLVF. However, it is invasive and expensive procedure. The novel ML algorithms have recently improved the classification accuracy of selected features in target variables when compared to more conventional procedures thanks to the ability to combine and analyze large data-sets of voice features. Even if the majority of studies focus on the diagnosis of a disorder where they differentiate between healthy and non-healthy subjects, the investigators believe that the more important task is frequently differential diagnosis between two or more diseases. Even though this is a challenging task, it is of crucial importance to move decision support to this level. The main aim of this research would be the study, development, and validation of ML algorithms to recognize the different BVLVFL from digital voice recordings.
Background: Inferior alveolar nerve block anesthesia is commonly used in dental procedures, but its effect on the voice quality is not well understood. The aim of this study is to investigate the effect of mandibular anesthesia on the acoustic voice quality index. Objective: The primary objective of this study is to determine the effect of mandibular anesthesia on the acoustic voice quality index. Design: This is a within-subject study design. Participants will be recruited from a local dental clinic and will be adults aged 18 years or older. The participants will have the acoustic voice quality index measured before and after the administration of mandibular anesthesia. The parameters that will be measured include acoustic voice quality index and self ........ The data will be analyzed using appropriate statistical techniques. Expected Outcome: The study is expected to provide insights into the effect of mandibular anesthesia on the acoustic voice quality index. The results of this study may help in understanding the impact of mandibular anesthesia on voice quality and may have implications for dental practitioners and patients who receive mandibular anesthesia.
The goal of this observational study is to evaluate the cortical silent period (cSP) in cricothyroid muscle (CT) in laryngeal dystonia and control healthy subjects. The study will provide norms related to latency and amplitude of motor evoked potentials (MEPs) and duration of cSP in CT muscle in laryngeal dystonia and control healthy subjects. Findings may give a baseline in comparison to findings in laryngeal diseases and insight into maladaptive cortical control function during phonation in laryngeal diseases like laryngeal dystonia.
The aim of this study is to compare the incidence of postoperative sore throat after intubation with two different types of laryngoscopes.
Deep Brain Stimulation (DBS) is a neurosurgical procedure used to treat tremors, and dystonia. This study will enroll people who have a form of focal dystonia that affects their vocal cords called Adductor Laryngeal dystonia (ADLD). Participants will undergo Deep Brain Stimulation surgery to treat laryngeal dystonia as part of their clinical care. Before surgery, as part of the study they will have specialized testing to study the movement of the vocal cords, as well as functional magnetic resonance imaging (fMRI). While in the operating room, researchers will examine brain waves to better understand how faulty brain firing patterns lead to dystonia. After surgery, and activation of the deep brain stimulator, participants will repeat speech testing and vocal cord imaging as well as magnetic resonance imaging (MRI).
The investigators will conduct a pilot experiment for a novel and personalized method for voice restoration using machine learning applied to surface EMG (sEMG) signal from articulatory muscles of the face and the neck allowing recognition of silent speech. The investigators predict that the use novel personalized method for voice restoration will be feasible and successful for patients.
The general aim of the research is to provide scientific evidence that vibro-tactile stimulation (VTS) represents a non-invasive form of neuromodulation that can induce measurable improvements in the speech of patients with laryngeal dystonia (LD) - also called spasmodic dysphonia (SD).
Our aim in conducting this study is to determine the relationship between voice disorders and anxiety in patients with fibromyalgia syndrome (FS).