FrontierThe story, in brief
Using warped language models to correct speech recognition errors
11%. That's how much Amazon just improved speech recognition accuracy with warped language models.
The KeyNews take
Why it matters
Amazon's breakthrough in speech recognition could significantly improve voice-enabled enterprise applications and customer service automation, directly impacting deployment costs and user experience.
The key facts
3 to know11% reduction in word error rate
Uses ASR hypotheses as additional model inputs
Improves human transcription accuracy
Go to the source
Amazon Scienceamazon.science
Publisher excerpt: Model using ASR hypotheses as extra inputs reduces word error rate of human transcriptions by almost 11%.