Scale Video Captioning with Predicted Accuracy Gates (Full Transcript)

3Play Media uses ASR plus ML-based accuracy prediction to route only low-quality captions to human editors, balancing cost, scale, and compliance.
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[00:00:00] Speaker 1: For any organization producing video, captioning at scale can feel impossible. Budgets are tight, accuracy expectations are high, and most workflows leave you stuck between two bad options. Run low-cost AI on everything and risk errors, or rely on humans for everything and overspend. 3Play Media changes that all-or-nothing approach with a smarter, dynamic workflow. Predicted Caption Accuracy. It starts by running all content through 3Play Media's best-in-class ASR, or Automatic Speech Recognition. It's fast, affordable, and perfect for processing large volumes of video. Next, machine learning evaluates the audio. It evaluates things like clarity, speaker count, accents, background noise, and more to predict how accurate those AI captions will be before any human review. Organizations can then set a minimum accuracy threshold for their content. For example, internal training videos might only need 90% predicted accuracy, while critical compliance or legal content might demand up to 99% accuracy. Any video that falls below the chosen threshold is automatically flagged for human review and editing, ensuring it meets your organization's standards. Our professional captioning team carefully corrects errors in grammar, terminology, and timing, ensuring that the final captions meet your organization's standards. This approach allows organizations to scale efficiently by processing large volumes of content without manually reviewing every file, and control costs by using affordable AI captions when quality is sufficient and reserving human review only for videos that need it. It also ensures that content is compliant with all relevant regulations, whether that be EAA, ADA, Section 508, or 504 of the Rehabilitation Act, or other accessibility and legal standards, without the astronomical price tag. Let 3Play's predicted caption accuracy be your intelligent gatekeeper, helping your organization deliver accessible video content at scale, within budget. 3Play Media, your global video partner.

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Arow Summary
The speaker explains how 3Play Media enables scalable video captioning by combining automatic speech recognition with machine learning that predicts caption accuracy before human review. Organizations set an accuracy threshold (e.g., 90% for internal training, up to 99% for compliance/legal), and only videos predicted to fall below that threshold are routed to professional human editors. This dynamic workflow balances cost and quality, supports high-volume processing, and helps meet accessibility regulations such as EAA, ADA, and Section 508 without excessive expense.
Arow Title
3Play Media’s Predicted Caption Accuracy Workflow
Arow Keywords
3Play Media Remove
captioning Remove
Predicted Caption Accuracy Remove
ASR Remove
automatic speech recognition Remove
machine learning Remove
accuracy threshold Remove
human review Remove
accessibility compliance Remove
ADA Remove
Section 508 Remove
EAA Remove
video workflow Remove
scalable captioning Remove
Arow Key Takeaways
  • Captioning at scale is difficult due to cost vs. accuracy trade-offs.
  • 3Play runs content through ASR first for fast, affordable baseline captions.
  • Machine learning predicts caption accuracy using audio factors like clarity, accents, speaker count, and noise.
  • Organizations can set minimum accuracy thresholds based on content criticality.
  • Only low-predicted-accuracy videos are escalated to professional human editors.
  • This approach scales captioning, controls costs, and supports compliance with accessibility regulations.
Arow Sentiments
Positive: The tone is promotional and solution-oriented, emphasizing efficiency, cost control, improved accuracy, and regulatory compliance through an intelligent workflow.
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