• Loukika Rane
• Mr N.M.Wagdarikar
• Mayur Dongre
• Ashwin Mor

The field of automatic sound recognition has seen a surge of interest in recent times, with various applications being explored. One such promising area is gender recognition, which has gained significant importance for its potential use in security, speaker identification, and recognition. While various identification methods have been used to determine the gender of a person, such as facial analysis, voice identification, and deep learning, this project will focus on identifying gender using the acoustic properties of the voice through the use of machine learning. By leveraging features like LPC and MFFCC, this project aims to achieve accurate gender recognition, opening up new possibilities in various fields.

Gender Classification Using Acoustic Features of the Voice

"Gender Classification Using Acoustic Features of the Voice", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.150-156, May-2023, Available :http://www.jetir.org/papers/JETIRFX06024.pdf

"Gender Classification Using Acoustic Features of the Voice", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp150-156, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06024.pdf