Speaker verification using heterogeneous neural network architecture with linear correlation speech activity detection
This paper presents a multi‐level speaker verification system that uses 64 discrete Fourier
transform spectrum components as input feature vectors. A speech activity detection …
transform spectrum components as input feature vectors. A speech activity detection …
Two stage speaker verification using self organising map and multilayer perceptron neural network
In this paper a two stage speaker verification system is presented. The first stage contains a
modified Self Organising Map (SOM) that filters speech data using cluster information …
modified Self Organising Map (SOM) that filters speech data using cluster information …
Speaker verification inspired by the physiology of hearing using spiking self‐organising map
In this paper, a speaker verification algorithm, which is inspired by the physiology of hearing
in the human auditory system, is proposed. The algorithm uses a modified self‐organising …
in the human auditory system, is proposed. The algorithm uses a modified self‐organising …
Biologically inspired speaker verification using Spiking Self-Organising Map
This paper presents a speaker verification system that uses a self organising map composed
of spiking neurons. The architecture of the system is inspired by the biomechanical …
of spiking neurons. The architecture of the system is inspired by the biomechanical …