AI & Speech Recognition
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Build Speech-To-Text API Into Your Applications: Easy How to Guide
A speech-to-text API lets you integrate an ASR engine into your application with direct, automated access to transcription services.

What Is Speaker Diarization? (How It Works With Real-Life Examples)
Discover what speaker diarization is and how it separates voices in an audio file for clearer, more accurate transcription.

What is a Ground-Truth Transcript?
Learn how a ground-truth transcript helps measure the accuracy of an automated speech recognition (ASR) system's output.

The Podcast Challenge: Testing Rev.ai’s Speech Recognition Accuracy
We tested our Rev.ai Speech Recognition Technology's accuracy on a wide range of podcasts. Spoiler alert: we beat our competition.
What is a Lexicon in Speech Recognition?
The lexicon is an important component in automatic speech recognition systems. Learn how it helps ASR with our guide.
What Is a Transcription Error & Who Does It Better – Humans or AI?
Learn about what transcription errors are, why they occur for both human and automatic transcription services, and how to limit errors.
Understanding N-Gram Language Models
N-gram language models help improve speech-to-text models by predicting probability for preceding and following words. Learn more about n-grams here.
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