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Transcribe and translate audio files with Faster Whisper

Blog post from RunPod

Post Details
Company
Date Published
Author
Eliot Cowley
Word Count
1,149
Language
English
Hacker News Points
-
Summary

Whisper, developed by OpenAI, is an automatic speech recognition system designed to transcribe and translate spoken language into text for applications such as subtitling videos and providing real-time captions. An optimized version called Faster Whisper significantly improves transcription speed and efficiency, being up to four times faster than the original while maintaining similar accuracy levels. Faster Whisper is also more memory-efficient and cost-effective, as demonstrated by its deployment on Runpod, a serverless platform that charges based on execution time rather than audio length, making it a cheaper alternative for processing audio files. The blog post guides users on deploying a Faster Whisper endpoint using Runpod and provides instructions for transcribing audio files through Python, highlighting its potential for automating tasks like podcast transcriptions and real-time translations.