automatic speech recognition

[ aw-tuh-mat-ik speech rek-uhg-nish-uhn ]

noun

, Digital Technology.

1. an algorithmic analysis of spoken language that uses machine learning and artificial intelligence to convert human spoken input into digital output, like text, or to interpret voiced commands, like those directed to a virtual assistant. : ASR

Word History and Origins

Origin of automatic speech recognition¹

First recorded in 1955–60

Example Sentences

"We extracted acoustic parameters such as pitch, speaking rate, and energy from speech, then used Automatic Speech Recognition to transcribe the speech into text for sentiment analysis," said Gao.

From Science Daily

Since the rate of automatic speech recognition errors can be higher for AAE speakers, downstream effects of linguistic discrimination in technology may result.

From Science Daily

"Across all automatic speech recognition systems, four out of every ten words spoken by Black men were being transcribed incorrectly," said co-author Zion Mengesha.

From Science Daily

The authors add, "Echoes strongly distort the sound features of speech and create a challenge for automatic speech recognition. The human brain, however, can segregate speech from its echo and achieve reliable recognition of echoic speech."

From Science Daily

Alexa uses a range of A.I. techniques, including automatic speech recognition.

From New York Times