A Survey on Estimation of Gender and Emotion Using Paralinguistic Features

Interface between humans and technology is important in a quantitative and qualitative standpoint. Gender recognition, emotion-based response, is among one of the difficult areas of research. Voice recognition serves a crucial role in spoken communication by making it easier to recognize a person’s emotions as they are expressed in their voice. With the aid of voice recognition technologies, users can communicate with technology by simply speaking to it. This enables hands-free requests, reminders, and other basic tasks. As it is challenging to recognize gender by a computer, speech is a common machine interaction technique used to classify. The systematic literature survey is performed in this analysis to extract and classify innovative techniques to recognize speech or voice features from various audio datasets.