  Understanding human behavior and monitoring mental health are essential to
maintaining the community and society's safety. As there has been an increase
in mental health problems during the COVID-19 pandemic due to uncontrolled
mental health, early detection of mental issues is crucial. Nowadays, the usage
of Intelligent Virtual Personal Assistants (IVA) has increased worldwide.
Individuals use their voices to control these devices to fulfill requests and
acquire different services. This paper proposes a novel deep learning model
based on the gated recurrent neural network and convolution neural network to
understand human emotion from speech to improve their IVA services and monitor
their mental health.
