Voice Based Gender Detection
Menugu Rajeshwari, Konduru Sambhavi, Gudupudi Karthik, Vindya Gandam · 2023
Gender identification is one of the most significant issues in the world. This issue has already been resolved utilizing a variety of picture categorization techniques, which frequently involve information extraction from a collection of photos. However, a lot of scholars from all around the world have recently become interested in gender classification using voice features. Analyzing some of the characteristics of human voice demonstrates that gender classification encompasses much more than just a person's frequency and pitch. Feature selection, or dimensionality reduction as it is more precisely known, is one of the hardest challenges in machine learning. A simitar issue arises when determining gender-specific features, which are crucial in determining a person's gender. The effectiveness and importance of algorithms for machine teaming wifi be examined in this study in relation for the voice-based gender identification challenge.