Project Vera - VAD Audio Annotation v2
I Annotated millisecond-accurate timestamps for AI speech models, while classifying speaker intentions and background noise levels.
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I have experience in AI training data with a focus on audio annotation and VAD (Voice Activity Detection). My work involves detailed temporal segmentation with 1ms resolution, where I accurately label speaker intent, separating standard speech from interruptions and background noise. I am accustomed to following rigorous guidelines to categorize complex token types and handle edge cases in human-computer interaction
I Annotated millisecond-accurate timestamps for AI speech models, while classifying speaker intentions and background noise levels.
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