AI & Speech Recognition
Featured Posts
How AI Tools Can Help Lawyers Beat Year-End Burnout
Blog posts
Rev Launches Tools to Improve Automatic Speech Recognition Benchmarking
Rev is excited to announce the release of two free tools to help customers and researchers test automatic speech recognition accuracy.
4 Key Aspects of an Automatic Speech Recognition (ASR) Service
New to Automatic Speech Recognition (ASR)? Explore four key features to help you better understand this exciting technology!
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 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.
Subscribe to The Rev Blog
Sign up to get Rev content delivered straight to your inbox.