/plushcap/analysis/assemblyai/comparing-zoom-transcription-accuracy-across-speech-to-text-apis

Comparing Zoom Transcription Accuracy Across Speech-to-Text APIs

What's this blog post about?

Zoom hosts 3.3 trillion meeting minutes annually, a 3,300% increase from the same quarter last year. The platform's integration with various software companies has enriched virtual conversations by enabling features like automatic transcription and highlighting key moments. Automated Speech Recognition (ASR) is crucial for these platforms, and AssemblyAI, Google Cloud Speech-to-Text, and AWS Transcribe are evaluated for their accuracy in transcribing Zoom recordings across various use cases. The benchmark report also explores the capabilities of AssemblyAI's enrichment models for Topic Detection, Keyword Detection, PII Redaction, and Content Safety Detection.

Company
AssemblyAI

Date published
Sept. 2, 2021

Author(s)
Joe Zaghloul

Word count
1247

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.