# **Introduction**
Determining a person’s gender as male or female, based upon a sample of their voice seems to initially be an easy task. Often, the human ear can easily detect the difference between a male or female voice within the first few spoken words. However, designing a computer program to do this turns out to be a bit trickier.

This article describes the design of a computer program to model acoustic analysis of voices and speech for determining gender. The model is constructed using 3,168 recorded samples of male and female voices, speech, and utterances. The samples are processed using acoustic analysis and then applied to an artificial intelligence/machine learning algorithm to learn gender-specific traits. The resulting program achieves 89% accuracy on the test set.

# **Hosts**
This competition is being hosted by the Society for Data Science, Birla Institute of Technology Mesra.