English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we present a system that associates faces with voices in avideo by fusing information from the audio and visual signals. The thesisunderlying our work is that an extremely simple approach to generating (weak)speech clusters can be combined with visual signals to effectively associatefaces and voices by aggregating statistics across a video. This approach doesnot need any training data specific to this task and leverages the naturalcoherence of information in the audio and visual streams. It is particularlyapplicable to tracking speakers in videos on the web where a priori informationabout the environment (e.g., number of speakers, spatial signals forbeamforming) is not available. We performed experiments on a real-world datasetusing this analysis framework to determine the speaker in a video. Given aground truth labeling determined by human rater consensus, our approach had~71% accuracy.

Putting a Face to the Voice: Fusing Audio and Visual Signals Across a Video to Determine Speakers