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Research Article

ML-Driven Facial Synthesis from Spoken Words Using Conditional GANs

Vaishnavi Srivastava1 Sakshi Srivastava2 Sakshi Chauhan3 Divyakshi Yadav4
1234 B.Tech IT 4th Year, Institute of Technology & Management Gida Gorakhpur, Uttar Pradesh, India.

Published Online: January-February 2024

Pages: 16-19

References

1. 1.A.N.a.J.C.a.W.X. a.A. Zisserman, “'Vox celeb: Large-scale speaker verification in the wild” Computer Speech & Language, 2019.
a. W. T. a. D. V. a. A. K. a. S. B. a. B. A. A. Creswell, “Generative adversarial networks: An overview” IEE signal processing magazine,
vol. 35,pp.53—65,2018.
2. A.a.C.J.a.Z.A.Nagrani,“'Vox Celeb: alarge – scale speaker identification dataset',
3. C. L. a. T. M. a. G. M. J. a. T. P. Lortie, “Effects of age on the amplitude, frequency and perceived
4. voice,”Age, vol. 37, pp. 1--24, 2015.
5. M.a.O.S.Mirza,“Conditionalgenerativeadversarialnets,”2014.
a. M. H. H. L. K. &. V.-B. E. Kamachi, “Putting the face to the voice": matching identity
6. across modality.,”Biology, vol. 13, pp.1709--1714, 2003.
7. M. Biemans, “The effect of biological gender (sex) and social gender (gender identity) on three pitch
8. measures,” Linguistics in the Netherlands, vol. 15,pp. 41--52, 1998.

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