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Classification of Depression and Its Severity Based on Multiple Audio Features Using a Graphical Convolutional Neural Network.

International journal of environmental research and public health
Audio features are physical features that reflect single or complex coordinated movements in the vocal organs. Hence, in speech-based automatic depression classification, it is critical to consider the relationship among audio features. Here, we prop...

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review.

Computers in biology and medicine
The growing and aging of the world population have driven the shortage of medical resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid development of robotics and artificial intelligence technologies help to adap...

Detecting Lombard Speech Using Deep Learning Approach.

Sensors (Basel, Switzerland)
Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the ...

Towards a simultaneously speaking bilingual robot: Primary study on the effect of gender and pitch of the robot's voice.

PloS one
With fast and reliable international transportation, more people with different language backgrounds can interact now. As a result, the need for communicative agents fluent in several languages to assist those people is highlighted. The high cost of ...

Design and Implementation of Machine Tool Life Inspection System Based on Sound Sensing.

Sensors (Basel, Switzerland)
The main causes of damage to industrial machinery are aging, corrosion, and the wear of parts, which affect the accuracy of machinery and product precision. Identifying problems early and predicting the life cycle of a machine for early maintenance c...

Deep learning-based speech analysis for Alzheimer's disease detection: a literature review.

Alzheimer's research & therapy
BACKGROUND: Alzheimer's disease has become one of the most common neurodegenerative diseases worldwide, which seriously affects the health of the elderly. Early detection and intervention are the most effective prevention methods currently. Compared ...

Scenario-Based Programming of Voice-Controlled Medical Robotic Systems.

Sensors (Basel, Switzerland)
An important issue in medical robotics is communication between physicians and robots. Speech-based communication is of particular advantage in robot-assisted surgery. It frees the surgeon's hands; hence, he can focus on the principal tasks. Man-mach...

A Computational Complexity Perspective on Segmentation as a Cognitive Subcomputation.

Topics in cognitive science
Computational feasibility is a widespread concern that guides the framing and modeling of natural and artificial intelligence. The specification of cognitive system capacities is often shaped by unexamined intuitive assumptions about the search space...

Guest editorial: Special issue on advances in deep learning based speech processing.

Neural networks : the official journal of the International Neural Network Society

Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures.

Sensors (Basel, Switzerland)
Dementia affects the patient's memory and leads to language impairment. Research has demonstrated that speech and language deterioration is often a clear indication of dementia and plays a crucial role in the recognition process. Even though earlier ...