Automatic verbal information verification for user authentication

@article{Li2000AutomaticVI,
  title={Automatic verbal information verification for user authentication},
  author={Qi Li and Biing-Hwang Juang and Chin-Hui Lee},
  journal={IEEE Trans. Speech and Audio Processing},
  year={2000},
  volume={8},
  pages={585-596}
}
Traditional speaker authentication focuses on speaker verification (SV) and speaker identification, which is accomplished by matching the speaker’s voice with his or her registered speech patterns. In this paper, we propose a new technique,verbal information verification(VIV), in which spoken utterances of a claimed speaker are verified against the key (usually confidential) information in the speaker’s registered profile automatically to decide whether the claimed identity should be accepted… CONTINUE READING
Highly Cited
This paper has 70 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, and topics from this paper.

Key Quantitative Results

  • Experiments showed that the proposed system improved the SV performance by over 40% in equal-error rate compared to a conventional SV system.

Citations

Publications citing this paper.
Showing 1-10 of 39 extracted citations

70 Citations

051015'01'04'08'12'16
Citations per Year
Semantic Scholar estimates that this publication has 70 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Similar Papers

Loading similar papers…