automatic speech recognition

American  

[aw-tuh-mat-ik speech rek-uhg-nish-uhn] / ˈɔ təˌmæt ɪk ˈspitʃ ˌrɛk əgˈnɪʃ ən /

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

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Etymology

Origin of automatic speech recognition

First recorded in 1955–60

Example Sentences

This dataset was analyzed using an Automatic Speech Recognition model, technology that converts speech into text, for transcription.

From Science Daily

"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

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

Others, like Otter and Live Transcribe, instead rely on what’s called automatic speech recognition, which uses artificial intelligence to learn and capture speech.

From Seattle Times