It is not difficult to estimate the gender of the human from other people's audio files. In
general, people can easily identify the gender of the owner of a conversation with the …

Several speaker recognition algorithms failed to get the best results because of the wildly
varying datasets and feature sets for classification. Gender information helps reduce this …

In this article, a Multilayer Perceptron (MLP) deep learning model has been described to
recognize voice gender. The data set have 3,168 recorded samples of male and female …

The speech entailed in human voice comprises essentially paralinguistic information used in
many voice‐recognition applications. Gender voice is considered one of the pivotal parts to …

Speech Recognition Technology can be embedded in various real time applications in order
to increase the human-computer interaction. From robotics to health care and aerospace …

Speech emotion recognition is a difficult task in the field of affective computing because
emotions in speech heavily depend on a variety of factors such as feeling, thought …

The term gender identification deals with finding out the gender of a person from his or her
voice. Gender identification has been implemented in several Automatic Speaker …

Nowadays classification of gender is one of the most important processes in speech
processing. Usually gender classification is based on considering pitch as feature. The pitch …

An approach using a convolutional neural network (CNN) is proposed for real-time gender
classification based on facial images. The proposed CNN architecture exhibits a much …

Abstract Automatic Gender Recognition (AGR) is the task of identifying the gender of a
speaker given a speech signal. Standard approaches extract features like fundamental …