Who is Speaking? Male or Female

Master's Thesis from the year 2013 in the subject Computer Science - Miscellaneous, grade: A+, University of Manchester, language: English, abstract: The aim of this project was to create a gender identification system that can be

used to identify the gender of the speaker. In this dissertation I have explained the

signal processing background such as Fourier transforms and DCT etc. that was

needed to understand the underlying signal processing happening in digital devices.

Apart from that I also investigated the different classification techniques such as

Adaboost and Gaussian Mixture Models and different types of methods such as

Fusion method, acoustic methods and pitch methods used in gender identification.

From this perspective I have implemented 3 types of models (4 Models) that

are explained in the literature and introducing a new method for gender recognition

that uses SDC feature with pitch to identify the gender. All models were tested

and trained on the same amount of speech. The SDC and SDC fused model gave

satisfactory results on Voxforge dataset. Finally I tested the acoustic and fused

models on YouTube video which gave almost 90% accuracy. The results of my

implementations are shown in chapter 6.