Forensic speaker recognition: speaker and height estimation techniques

In this work, we analyse some techniques used to perform speaker verification, ex- plaining the steps from feature extraction to mathematical models used for speaker characterisation and discriminative modelling. The main contributions of the au- thor, is a modification on the i–vector generation process, making it either faster or less memory-demanding, a novel way to perform speaker verification by the use of the Pairwise Support Vector Machine and a new way to perform speaker characteri- sation by means of Deep belief networks. Apart from these contributions, additional work in Automatic Speech-Based Height Estimation is presented, including a base- line model and then improvement of this by the use of a Mixture of Expert Neural Networks.