Intervention Strategies for Psychological Disorders Combined with Vocal Fold Closure Disorders: The Effects of Respiratory Transformation and Self-Vocalization Techniques

The intervention effects of psychological disorders combined with vocal fold closure disorders can be achieved through the transformation of respiratory patterns and the establishment of self-vocalization techniques. However, current research lacks sufficient consideration in sample preprocessing and integrated learning, leading to classifier misguidance, poor classification accuracy, and instability. Through the use of psychiatric scales, assessments, and diagnoses by professional physicians in psychiatric hospitals, it is frequently observed that patients with vocal fold closure disorders also exhibit tendencies or diagnoses of depression, anxiety disorders, and other mental disorders. This issue is often overlooked by voice doctors, voice trainers, and speech trainers, neglecting the coexistence of psychological disorders in individuals with vocal production disorders. Over the past six years, based on the collection and analysis of American Journal of Speech® voice biomarkers, as well as practical experience in voice training and voice rehabilitation systems, it has been discovered that the adoption of correct and effective self- vocalization techniques can effectively intervene in the psychological disorders of patients with voice production disorders. This intervention helps patients recover their psychological state related to voice production in a relatively short period of time, promotes the rehabilitation of their own psychological disorders, and maximizes the restoration of appropriate vocal fold movements. By simultaneously intervening in respiratory techniques and vocal correction for patients with psychological disorders, a synergistic effect is achieved, resulting in dual benefits from a single effort. Currently, renowned teams such as Harvard University and the University of Oxford are conducting research focusing solely on the respiratory transformation of psychological disorders, which has been published in top academic journals. Practices such as meditation and breathing exercises are also widespread in Silicon Valley, USA. However, through nearly a century of scientific research and practical application, the AJS® system has found that the intervention effects achieved through respiratory transformation, the establishment of self-vocalization techniques, and individual-specific vowel sound training exceed the impact of any psychological counseling or meditation training. Furthermore, it significantly accelerates the voice rehabilitation of patients with vocal fold closure disorders, far surpassing the effects of training solely focused on vocal correction. This research path and achievement differ from the research conducted by the Institute of Architectural Acoustics at Tsinghua University and a tertiary hospital in China, which is based on the Jindrak hypothesis proposed by Jindrak K.F. and Jindrak H. in 1988, studying the intervention of human vocalization and cranial resonance on brain nerves: "The vibration caused by vocalization can massage the brain, promote the exchange of metabolic products between brain tissue and cerebrospinal fluid, and affect arachnoid granules, accelerating the flow of cerebrospinal fluid from the subarachnoid space into the superior sagittal sinus and lateral ventricle, and then returning to the bloodstream. This accelerates the renewal of cerebrospinal fluid and enhances brain cleansing. With the rapid development and continuous evolution of artificial intelligence and big data, our team has collaborated with experts in voice feature analysis from the Massachusetts Institute of Technology and the University of Pennsylvania, as well as psychology experts from Harvard University, and jointly established a software platform based on frequency- related sound (vocal) neural conduction   mechanisms, developed through integrated algorithms. Currently, we use two software programs, Apotheose®, for the collection and analysis of voice biomarkers, to assist in the voice rehabilitation and vocal correction of patients with vocal production disorders. Additionally, through software and data, we assist rehabilitation patients in establishing their own voice feature files.