Modulation Components and Genetic Algorithm for Speaker Recognition System

In this paper, the aim is to investigate weather or not that changing the filter-bank components (of the speaker recognition system) could improve the system performance in identifying the speaker. The filter is composed of 30 Gamatone filter channels. First, the channels are mel distributed of the frequency line. Then the components´values (center frequencies and bandwidths) changes with each run. Genetic algorithm (GA) is adopted to improve the filter component values that, in a result, improve the system performance. At each GA run, a new set of filter components will be generated that aimed to improve the performance comparing with the previous run. This will continue until the system reach to the maximum accuracy or the GA reach to its limits. Results show that the system will be improved at each run, however, different words might response differently to the system filter changing. Also, in terms of additive noise, the results show that although the digits affected differently by the noise, the system still get improving with reach GA run.

@article{Hassan2017,
  title     = {Modulation Components and Genetic Algorithm for Speaker Recognition System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {5},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Tariq A. Hassan and Rihab I. Ajel and Eman K. Ibrahim},
  doi       = {10.14569/IJACSA.2017.080569},
  url       = {https://doi.org/10.14569/IJACSA.2017.080569}
}