Extraction of speaker-specific excitation information from linear prediction residual of speech

@article{Prasanna2006ExtractionOS,
  title={Extraction of speaker-specific excitation information from linear prediction residual of speech},
  author={S. R. Mahadeva Prasanna and Cheedella S. Gupta and Bayya Yegnanarayana},
  journal={Speech Communication},
  year={2006},
  volume={48},
  pages={1243-1261}
}
In this paper, through different experimental studies we demonstrate that the excitation component of speech can be exploited for speaker recognition studies. Linear prediction (LP) residual is used as a representation of excitation information in speech. The speaker-specific information in the excitation of voiced speech is captured using the AutoAssociative Neural Network (AANN) models. The decrease in the error during training and recognizing correct speakers during testing demonstrates that… CONTINUE READING
Highly Cited
This paper has 282 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 82 extracted citations

283 Citations

02040'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 283 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 42 references

Significance of source features for speaker recognition

  • C. S. Gupta
  • MS thesis, Department of Computer Science and…
  • 2003
Highly Influential
6 Excerpts

IIT Madras speaker verification system

  • B. Yegnanarayana, S.R.M. Prasanna, S. V. Gangashetty, C. S. Gupta, S. Guruprasad, N. Dhananjay
  • Proc. NIST Speaker Recognition Workshop,
  • 2002
Highly Influential
4 Excerpts

NIST 2002 speaker recognition evaluation plan

  • A. Martin
  • Proc. NIST Speaker Recognition
  • 2002
Highly Influential
4 Excerpts

Ogi submission – NIST 2002 one-speaker detection

  • S. S. Kajarekar, A. G. Adami, H. Hermansky
  • task. In: Proc. NIST Speaker Recognition Workshop…
  • 2002
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…