2022 State of Automatic Speech Recognition (ASR)

Date & Time

Thursday, March 16, 2023 - 2:20 PM PST  

Location

Elite 1-3  

Description

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 2022 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 501 files across 8 industries, testing approximately 68 hours of content with a total of around 600,000 words. This is the only report of its kind focused on the application of speech recognition technology for captioning vs. for other technologies.

This Presentation Link is provided by the Presenter(s) and not hosted by the Center on Disabilities at CSUN. The Center on Disabilities has confirmed, as of April 11 2023, content linked is relevant to the presentation, but has not been reviewed for accessibility nor will the Center on Disabilities attempt to remediate any accessibility issues in the linked content. Please contact the Presenter(s) with any accessibility concerns.

 

Audience

• Higher Education
• Information & Communications Technology
• Media & Publishing

Audience Level

Intermediate  

Session Summary (Abstract)

This session will cover a 2022 study of the 8 leading ASR engines to understand where speech AI stands for the task of captioning & transcription.  

Primary Topic

Captions & Transcription  

Secondary Topics

• Artificial Intelligence (AI) & Machine Learning (ML)
• Research
• Video & Live Streaming

 

Session Type

General Track  

Presenter

• Lily Bond
  3Play Media

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