Background and Objectives: Voice disorders can significantly impact quality of life. This study evaluates the feasibility of using deep learning models to detect voice disorders using an opensource dataset.Materials and Method We utilized the Saarbrücken Voice Database, which contains 1231 voice recordings of various pathologies. Datasets were used for training (n=1036) and validation (n=195). Key vocal parameters, including fundamental frequency (F0), formants (F1, F2), harmonics-to-noise ratio, jitter, and shimmer, were analyzed. A convolutional neural network (CNN) was designed to classify voice recordings into normal, vox senilis, and laryngocele. Performance was assessed using precision, recall, F1-score, and accuracy. Results: The CNN model demonstrated high classification performance, with precision, recall, and F1-scores of 1.00 for normal and 0.99 for vox senilis and laryngocele. Accuracy reached 1.00 after 50 epochs and remained stable through 100 epochs. Time-frequency analysis supported the model’s ability to differentiate between classes. Conclusion This study highlights the potential of deep learning for voice disorder detection, achieving high accuracy and precision. Future research should address dataset diversity and realworld integration for broader clinical adoption.

Contact granuloma of the vocal fold is a benign lesion that can be challenging to treat, often requiring multiple interventions. This case report presents the successful treatment of a refractory vocal fold contact granuloma using KTP laser vaporization under local anesthesia. A 30-year-old male patient with a persistent right vocal process granuloma, unresponsive to 3 months of conservative treatment, underwent in-office KTP laser surgery. The granuloma completely resolved within 1 month post-procedure, with improved voice quality and objective voice parameters. No recurrence was observed during the 6 months follow-up period. The in-office KTP laser vaporization technique provides a viable alternative for treating refractory vocal fold granulomas, particularly in patients who are unsuitable for general anesthesia or voice professionals who cannot tolerate prolonged voice rest following botulinum toxin injections. However, as this is a single case report, larger prospective studies with standardized follow-up periods are necessary to determine long term efficacy and recurrence rates.

This case report investigates the effects of semi-occluded vocal tract exercises (SOVTEs) on voice improvement in elderly female patients with presbyphonia. Elderly female patients with presbyphonia commonly present with symptoms such as hoarseness, decreased vocal intensity, and phonatory difficulties. These symptoms are often associated with age-related vocal fold atrophy, leading to compensatory muscle tension and inefficient phonation, which necessitate targeted therapeutic interventions. In this study, two elderly female patients, aged 73 years and 71 years, participated in a voice therapy program centered on SOVTEs designed to promote vocal fold vibration efficiency and reduce compensatory tension. Case 1 underwent five therapy sessions, while Case 2 completed sixteen sessions. Pre- and post-treatment voice assessments revealed notable improvements in vocal quality, suggesting that SOVTEs may be an effective therapeutic approach for managing presbyphonia in elderly women.

Mutational dysphonia, a condition in which a pre-adolescent voice persists into adulthood, can significantly impact personal and professional life but is treatable with voice therapy. A patient with mutational dysphonia usually has a voice that is weak, breathy, or diplophonic, often classified as a “falsetto” voice. In this case report, we present a 20-year-old male who had a typical voice of a boy before adolescence, making it difficult to diagnose as mutational dysphonia. After voice therapy, he successfully gained his post-adolescent voice, highlighting the importance of thorough diagnosis and personalized treatment for mutational dysphonia.

Background and Objectives: This study is the first to report on voice changes by gender and duration of infection in Korean post-COVID-19 patients. It analyzes the prevalence of voice-related symptoms, gender differences in acoustic parameters, and temporal recovery patterns of voice function.Materials and Method In this study, 85 patients with COVID-19 were recruited, voice-related symptoms were surveyed, and voice recordings of all participants were collected and analyzed by acoustic speech analysis. Results: The average age of 85 COVID-19 confirmed patients was 31 (range: 26.0–45.5) years old, and there were 35 males and 50 females. Voice analysis using the GRBAS scale and acoustic parameters was conducted among male and female patients. Results revealed varying distributions of GRBAS scores among males and females, with males exhibiting lower fundamental frequency (F0) but higher jitter and shimmer compared to females. When compared to normal adult voice values, female patients demonstrated a significant reduction in fundamental frequency, while male patients exhibited a significant increase in speaking fundamental frequency (SFF) alongside elevated jitter and shimmer. Additionally, analysis of voice parameters over time since COVID-19 diagnosis showed no significant differences among males, whereas females exhibited a significant increase in SFF after 90 days, approaching normal values. Conclusion This study emphasizes the significant impact of COVID-19 on voice production, with notable sex-specific differences and recovery patterns. These findings provide a foundation for developing targeted rehabilitation strategies to improve vocal outcomes in post-COVID-19 patients.

Background and Objectives: Post-thyroidectomy syndrome (PTS) refers to voice problems that occur after thyroidectomy without laryngeal nerve injury, often affecting vocal function and quality of life. This study aims to develop and evaluate a tailored voice therapy program for PTS and assess its effectiveness through both objective and subjective voice measures.Materials and Method This study included patients who underwent thyroidectomy. The therapy group consisted of seven female patients diagnosed with PTS by a laryngologist 2 weeks postoperatively. The control group was matched for age, sex, and surgical extent. Voice evaluation included both objective acoustic analysis and subjective evaluations using the Korean Voice Handicap Index-10 (K-VHI-10) and the Korean Voice Fatigue Index (K-VFI). The therapy program incorporated neck exercises and semi-occluded vocal tract exercises (SOVTE). The voice therapy program consisted of a single 40-minute direct session provided by a speech-language pathologist, followed by a 2-week period of patient-performed home exercises. Results: The therapy group showed significant improvements in minimum pitch (p=0.035) and pitch range (p=0.013) compared to the control group. Additionally, subjective evaluations revealed significantly lower K-VHI-10 (p=0.003) and K-VFI (p=0.040) scores in the therapy group than in the control group. Conclusion The voice therapy program for PTS effectively improved pitch-related problems and subjective voice outcomes. These findings highlight the importance of early voice therapy intervention in optimizing postoperative voice recovery. Further research with larger sample sizes is needed to validate these results and refine treatment protocols.

The larynx plays a crucial role in respiration, phonation, and swallowing, with its motor and sensory functions controlled by both the central and peripheral nervous systems. Neurological voice disorders arise when various neurological diseases, such as sensory impairment, motor weakness, reflex abnormalities, or incoordination, affect the laryngeal function. Patients with neurological conditions often present with voice changes, swallowing difficulties, or respiratory issues, leading them to seek evaluation and treatment from otolaryngologists, sometimes resulting in neurological consultation. Laryngeal motor disorders can be caused by dysfunction in the cerebral cortex, basal ganglia, midbrain, or cerebellum. Neurological voice disorders are often subtle at first and may become more pronounced as the disease progresses, commonly accompanied by other speech disorders such as dysarthria or aphasia. Early diagnosis of symptoms and understanding the characteristics of neurological diseases is crucial for effective voice evaluation and therapy. This review summarizes the clinical features, voice characteristics, and treatments of diseases that cause neurological voice disorders, including essential tremor, Parkinson’s disease, amyotrophic lateral sclerosis, stroke, myasthenia gravis, and multiple sclerosis. Understanding the specific voice characteristics and appropriate treatment options for each condition is essential for improving communication outcomes in these patients. Additionally, addressing coexisting swallowing disorders is important when treating neurological voice disorders.

Background and Objectives: Voice disorders can significantly impact quality of life. This study evaluates the feasibility of using deep learning models to detect voice disorders using an opensource dataset.Materials and Method We utilized the Saarbrücken Voice Database, which contains 1231 voice recordings of various pathologies. Datasets were used for training (n=1036) and validation (n=195). Key vocal parameters, including fundamental frequency (F0), formants (F1, F2), harmonics-to-noise ratio, jitter, and shimmer, were analyzed. A convolutional neural network (CNN) was designed to classify voice recordings into normal, vox senilis, and laryngocele. Performance was assessed using precision, recall, F1-score, and accuracy. Results: The CNN model demonstrated high classification performance, with precision, recall, and F1-scores of 1.00 for normal and 0.99 for vox senilis and laryngocele. Accuracy reached 1.00 after 50 epochs and remained stable through 100 epochs. Time-frequency analysis supported the model’s ability to differentiate between classes. Conclusion This study highlights the potential of deep learning for voice disorder detection, achieving high accuracy and precision. Future research should address dataset diversity and realworld integration for broader clinical adoption.

Contact granuloma of the vocal fold is a benign lesion that can be challenging to treat, often requiring multiple interventions. This case report presents the successful treatment of a refractory vocal fold contact granuloma using KTP laser vaporization under local anesthesia. A 30-year-old male patient with a persistent right vocal process granuloma, unresponsive to 3 months of conservative treatment, underwent in-office KTP laser surgery. The granuloma completely resolved within 1 month post-procedure, with improved voice quality and objective voice parameters. No recurrence was observed during the 6 months follow-up period. The in-office KTP laser vaporization technique provides a viable alternative for treating refractory vocal fold granulomas, particularly in patients who are unsuitable for general anesthesia or voice professionals who cannot tolerate prolonged voice rest following botulinum toxin injections. However, as this is a single case report, larger prospective studies with standardized follow-up periods are necessary to determine long term efficacy and recurrence rates.

This case report investigates the effects of semi-occluded vocal tract exercises (SOVTEs) on voice improvement in elderly female patients with presbyphonia. Elderly female patients with presbyphonia commonly present with symptoms such as hoarseness, decreased vocal intensity, and phonatory difficulties. These symptoms are often associated with age-related vocal fold atrophy, leading to compensatory muscle tension and inefficient phonation, which necessitate targeted therapeutic interventions. In this study, two elderly female patients, aged 73 years and 71 years, participated in a voice therapy program centered on SOVTEs designed to promote vocal fold vibration efficiency and reduce compensatory tension. Case 1 underwent five therapy sessions, while Case 2 completed sixteen sessions. Pre- and post-treatment voice assessments revealed notable improvements in vocal quality, suggesting that SOVTEs may be an effective therapeutic approach for managing presbyphonia in elderly women.