AI & Speech Recognition
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How AI Tools Can Help Lawyers Beat Year-End Burnout
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85% Believe Prompting Will Be a Must-Have Job Skill in the AI Era
A new survey reveals Gen Z treats AI prompting as career prep, while employer training boosts efficiency 20%. See how generations approach this emerging job skill.
4 in 5 Legal Professionals Are Burned Out: Can AI Be the Lifeline?
New report: 4 in 5 lawyers experience burnout. Learn how overwhelming workloads lead to stress and how AI is helping legal professionals find balance.
The Court Reporter Shortage: Looking to the Future
The nationwide court reporter shortage brings significant challenges for the industry. Learn how technology can help you fill in the gaps.
Rev vs. TranscribeMe: How Do They Compare?
A breakdown of Rev vs. TranscribeMe, two industry-leading transcription platforms. Learn more about their prices, accuracy, security, and features.
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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