/plushcap/analysis/deepgram/how-openai-s-text-normalization-hides-whisper-s-true-word-error-rate-for-south-asian-and-southeast-asian-languages

Breaking Brahmic: How OpenAI's Text Cleaning Hides Whisper's True Word Error Rate for Many South Asian Languages

What's this blog post about?

OpenAI's Whisper model claims impressive word error rates for many South Asian languages, including Tamil, Hindi, and Bengali. However, upon closer examination, it appears that these results are artificially inflated due to a bug in their text cleaning process. This issue affects not only Tamil but also other languages using related writing systems, impacting over one billion speakers worldwide. Deepgram's Tamil language model outperforms OpenAI Whisper's Tamil model in accuracy, speed, and cost of use when compared on a more even playing field.

Company
Deepgram

Date published
Jan. 6, 2023

Author(s)
Ross O'Connell

Word count
1518

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.