The actual COVID-19-related pandemia is boosting relevant advances in telemedicine owing to the increasing application of new health technologies allowing remote recordings of specific biological variables. Among them, the automatic recognition of the human voice in healthy subjects and people with neurologic disorders has recently gained an increasing interest in the field. The human voice represents a complex biological phenomenon characterized by high-dimensional data, therefore, requiring advanced analytic tools. Also, given that voice arises from the integrated activity of a widespread brain network, voice analysis would likely represent a new privileged window on function and dysfunction of the human brain. Accordingly, the objective assessment of the human voice through spectral analysis and artificial intelligence would open new opportunities for the understanding of human behavior as well as recognition and follow-up of neurologic disorders, in line with telemedicine approaches.
In the present Research Topic, we welcome research studies as well as review manuscripts investigating the human voice under physiological as well as pathological conditions. We are particularly interested in new multimodal approaches based on the integration of clinical, neurophysiological, neuropsychological, and neuroimaging measures promoting the current understanding of the human voice. We also warrant studies concerning methodological advances for the automatic assessment of voice through the application of artificial intelligence. Lastly, we aim to collect studies highlighting the role of objective voice analysis in the remote recognition of human behavior as well as specific neurologic disorders following the specific purposes of telemedicine.
The scope of this Research Topic is to provide visibility to original research articles from investigators working in the field of human voice analysis. We strongly encourage researchers to consider our collection as an opportunity to get connected and improve knowledge in this promising field. We believe that human voice analysis would provide a new window of observation of brain function and dysfunction.
Thus, topic editors will welcome any types of manuscripts supported by the Journal – comprised of research article, brief research article, review, and mini-review – pertaining, but not limited to the following themes:
- Physiology of the human voice
- Voice abnormalities in people with Parkinson's disease, Alzheimer's disease and other neurodegenerative disorders, multiple sclerosis, acute and chronic stroke, amyotrophic lateral sclerosis and other neuromuscular disorders
- Pathophysiology of neurological voice disorders (i.e. using neuroimaging, neurophysiological and behavioral methodologies)
- Treatment of neurological voice disorders (i.e. pharmacological, surgical etc)
- Artificial Intelligence (deep learning, machine learning) applied to voice analysis in people with neurological disorders
The actual COVID-19-related pandemia is boosting relevant advances in telemedicine owing to the increasing application of new health technologies allowing remote recordings of specific biological variables. Among them, the automatic recognition of the human voice in healthy subjects and people with neurologic disorders has recently gained an increasing interest in the field. The human voice represents a complex biological phenomenon characterized by high-dimensional data, therefore, requiring advanced analytic tools. Also, given that voice arises from the integrated activity of a widespread brain network, voice analysis would likely represent a new privileged window on function and dysfunction of the human brain. Accordingly, the objective assessment of the human voice through spectral analysis and artificial intelligence would open new opportunities for the understanding of human behavior as well as recognition and follow-up of neurologic disorders, in line with telemedicine approaches.
In the present Research Topic, we welcome research studies as well as review manuscripts investigating the human voice under physiological as well as pathological conditions. We are particularly interested in new multimodal approaches based on the integration of clinical, neurophysiological, neuropsychological, and neuroimaging measures promoting the current understanding of the human voice. We also warrant studies concerning methodological advances for the automatic assessment of voice through the application of artificial intelligence. Lastly, we aim to collect studies highlighting the role of objective voice analysis in the remote recognition of human behavior as well as specific neurologic disorders following the specific purposes of telemedicine.
The scope of this Research Topic is to provide visibility to original research articles from investigators working in the field of human voice analysis. We strongly encourage researchers to consider our collection as an opportunity to get connected and improve knowledge in this promising field. We believe that human voice analysis would provide a new window of observation of brain function and dysfunction.
Thus, topic editors will welcome any types of manuscripts supported by the Journal – comprised of research article, brief research article, review, and mini-review – pertaining, but not limited to the following themes:
- Physiology of the human voice
- Voice abnormalities in people with Parkinson's disease, Alzheimer's disease and other neurodegenerative disorders, multiple sclerosis, acute and chronic stroke, amyotrophic lateral sclerosis and other neuromuscular disorders
- Pathophysiology of neurological voice disorders (i.e. using neuroimaging, neurophysiological and behavioral methodologies)
- Treatment of neurological voice disorders (i.e. pharmacological, surgical etc)
- Artificial Intelligence (deep learning, machine learning) applied to voice analysis in people with neurological disorders
