Face Reconstruction from Voice using Generative Adversarial Networks

Yandong Wen; Bhiksha Raj; Rita Singh

NeurIPS 2019poster70 citations

Face Reconstruction from Voice using Generative Adversarial Networks

Abstract

Voice profiling aims at inferring various human parameters from their speech, e.g. gender, age, etc. In this paper, we address the challenge posed by a subtask of voice profiling - reconstructing someone's face from their voice. The task is designed to answer the question: given an audio clip spoken by an unseen person, can we picture a face that has as many common elements, or associations as possible with the speaker, in terms of identity?

BibTeX

@inproceedings{NEURIPS2019_eb9fc349,
 author = {Wen, Yandong and Raj, Bhiksha and Singh, Rita},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
 pages = {},
 publisher = {Curran Associates, Inc.},
 title = {Face Reconstruction from Voice using Generative Adversarial Networks},
 url = {https://proceedings.neurips.cc/paper_files/paper/2019/file/eb9fc349601c69352c859c1faa287874-Paper.pdf},
 volume = {32},
 year = {2019}
}