The 2023 State of Automatic Speech Recognition (ASR)

 

 

Session Summary

ADVANCE TRACK

The State of Automatic Speech Recognition

What is the current state of speech technology? Is automatic speech recognition (ASR) sufficient for closed captioning or live captioning? Do we still need humans to achieve accuracy standards for accessibility?

Speech recognition is widely used to streamline the process of creating closed captions, audio descriptions, and other media accessibility accommodations. This session will discuss the findings from a 2023 research study of leading ASR engines to understand how speech AI measures up to the task of captioning and transcription without the intervention of a human editor. The study tested 549 files across nine industries, testing approximately 107 hours of content with a total of over 900,000 words.

This is the only report of its kind focused on the application of speech recognition technology for captioning vs. for other technologies.

Lily Bond
Senior Vice President of Marketing at 3Play Media

Pronouns: she/her

Lily Bond is the Vice President of Marketing at 3Play Media, the industry’s leading provider of video accessibility services. 3Play provides premiere closed captioning, transcription, translation, and audio description services to make digital video content more accessible, searchable, and engaging. Lily has published content on the topics of closed captioning and accessibility for over 8 years, and currently oversees all marketing programs and strategy.

Lily Bond

Tessa Kettelberger
Senior Data Scientist at 3Play Media

Pronouns: she/her

Tessa Kettelberger is a Senior Data Scientist at 3Play Media. Tessa has worked in research and development at 3Play Media for almost 4 years, and often focuses on using natural language processing to improve 3Play Media’s captioning, transcription, and audio description services. Tessa produces the annual State of Automatic Speech Recognition report.

Tessa Kettelberger

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