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Verity processes audio by transcribing and video using transcription services aVerity uses audio transcription to take audio files extracted from a video(standalone or ) to convert speak-to-text. The output of this process is then sent to Verity's NLP machine learning models for classification. For video analysis, Verity leverages audio transcription for speech-to-text as well as frame sampling from the video content itself, sending the individual frames captured to Verity's Computer Vision models for classification. In parallel, the speech-to-text standalone audio tracks (or audio tracks extracted from video) by transcribing the audio to text. The speech-to-text output is enriched with any available video metadata (such as title , and description) and then sent to Verity's NLP Verity’s Natural Language Processing (NLP) machine learning models for classification. The outputs of these parallel tracks is then merged in our proprietary merging logic and a comprehensive analysis considering both auditory and visual elements of the video is returned. |