AI Case Study

YouTube automatically captions 1B videos with 50% increased accuracy using machine learning

Youtube uses machine learning to automatically generate text subtitles for its videos, with a reported 50% improvement in accuracy

Industry

Consumer Goods And Services

Media And Publishing

Project Overview

According to Google: "YouTube can use speech recognition technology to automatically create captions for your videos. The wide variety of content on YouTube obviously makes it hard to caption everything, but it also offers the company with a wide range of training data. When the YouTube community reviews and edits these automatic captions, that information then flows back into the machine learning process to make the system more accurate. The service’s automatic captions currently support 10 languages."

Reported Results

TechCrunch: "Google says the service is getting closer and closer to human transcription error rates and that all the various improvements the company has made over the years have led to a 50 percent increase in accuracy... the service has now captioned one billion videos and people watch video with captions 15 million times a day."

Technology


Function

R And D

Product Management

Background

From TechCrunch: "Google’s speech recognition technology has made massive strides, though, and while the service still makes its fair share of mistakes, it’s now quite good at making videos accessible to the deaf and hearing impaired".

Benefits

Data