A novel embedded speaker verification on system on chip

  • Authors:

  • Pengfei Mao;Jia Liu

  • Affiliations:

  • Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China;Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper realizes a Text-Independent, Speaker Verification system on a System on Chip (SOC) platform. The system uses Mel-Frequency Cepstral Coefficients (MFCC) features with a Gaussian Mixture Model-Universal Background Model (GMM-UBM) speaker model. To deal with resource limitations, a new speaker-centric score normalization technique is introduced. This normalization technique results in a relative EER reduction of 44.9% compared to no normalization.