Comparing Zoom Transcription Accuracy Across Speech-to-Text APIs
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.