ML-Driven Facial Synthesis from Spoken Words Using Conditional GANs

Vaishnavi Srivastava; Sakshi Srivastava; Sakshi Chauhan; Divyakshi Yadav

doi:10.59256/ijire.20240501004

Research Article

ML-Driven Facial Synthesis from Spoken Words Using Conditional GANs

Paper ID 74
Volume 5, Issue 1
Pages 16-19
Published Online: January-February 2024
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Authors

Vaishnavi Srivastava¹
Sakshi Srivastava²
Sakshi Chauhan³
Divyakshi Yadav⁴

¹²³⁴ B.Tech IT ⁴th Year, Institute of Technology & Management Gida Gorakhpur, Uttar Pradesh, India.

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Article Information

DOI: https://www.doi.org/10.59256/ijire.20240501004
Published In: Volume 5, Issue 1 (2024)
Published Online: January-February 2024
Pages: 16-19
Article Type: Research Article
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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.

ML-Driven Facial Synthesis from Spoken Words Using Conditional GANs

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