Gender Identification Using Svm with Combination of Mfcc

@inproceedings{Gaikwad2012GenderIU,
  title={Gender Identification Using Svm with Combination of Mfcc},
  author={Santosh Gaikwad and Bharti W. Gawali},
  year={2012}
}
Gender is an important and most diffrentiative characteristic of a speech. Gender information can also be used to improve the performance of speech and speaker recognition systems. Automatic gender classification is a technique that aims to determine the sex of the speaker through speech signal analysis. However with the increase in biometric security application, practical application of gender identification increased the many fold .The need of gender identification from speech arises several… CONTINUE READING

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References

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

Gender identification of the speaker using DTW method

2009 IEEE 17th Signal Processing and Communications Applications Conference • 2009
View 1 Excerpt

Digital speech: coding for low bit rate communication systems

A. Condos
2004

Gender Identification Using SVM with Combination of MFCC Advances in Computational Research ISSN: 0975-3273 & E-ISSN: 0975-9085, Volume 4, Issue 1, 2012 Code Book size Male Female

Acer, X Huang
IEEE International Conference On Acoustic Speech and Signal Processing • 1996

Neural Networks Comprehensive Foundation

Simon Haskin
1994
View 1 Excerpt

Pitch determination of speech signals: algorithms and devices

W. Hess
1983
View 1 Excerpt

Average magnitude difference function pitch extractor, IEEE transactions on acoustics, speech and signal processing

M. Ross, H. Shaffer, A. Cohen, R. Freud berg, H. Manley
vol. 22, • 1974
View 1 Excerpt

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