Abstract: System and method for reconstructing a facial image of a speaker from a voice sample of the speaker including: selecting, from a dataset associating each of a plurality of voice samples to a particular facial image, a subset of voice samples that are similar to the voice sample of the speaker, and reconstructing the facial image of the speaker by unifying the faces associated with each of the voice samples in the subset of voice samples.

Abstract: System and method for voice-face matching, including: obtaining a voice sample, a first facial image of a first person, and a second facial image of a second person; calculating a distance between the first facial image and the second facial image; using a voice-face matching model, calculating a latent space vector for each of the voice sample and the first and second facial images; and training the voice-face matching model using a loss function that decreases a distance between the latent space vector of the voice sample of the first person and the latent space vector of the first facial image, and increases a distance between the latent space vector of the voice sample of the first person and the latent space vector of the second facial image, wherein the loss function is adjusted based on the distance between the first facial image and the second facial image.