With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

Traditional speaker diarization seeks to detect``who spoke when''according to speaker
characteristics. Extending to target speech diarization, we detect``when target event …

With the rapid growth of social media platforms, users are sharing billions of multimedia
posts containing audio, images, and text. Researchers have focused on building …

We study the problem of learning association between face and voice. Prior works adopt
pairwise or triplet loss formulations to learn an embedding space amenable for associated …

This work digs into a root question in human perception: can face geometry be gleaned from
one's voices? Previous works that study this question only adopt developments in image …

We present an approach to learn voice-face representations from the talking face videos,
without any identity labels. Previous works employ cross-modal instance discrimination …

Speaker verification has been widely explored using speech signals, which has shown
significant improvement using deep models. Recently, there has been a surge in exploring …

Previous works on voice-face matching and voice-guided face synthesis demonstrate strong
correlations between voice and face, but mainly rely on coarse semantic cues such as …

Can we predict a person's appearance solely based on their voice? This article explores this
question by focusing on generating a face from an unheard voice segment. Our proposed …

In recent years, an association is established between faces and voices of celebrities
leveraging large scale audio-visual information from YouTube. The availability of large scale …