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https://github.com/bhattbhavesh91/openai-whisper-benchmarking

Comparing the performance of OpenAI's Whisper model on a GPU vs OpenAI's API
https://github.com/bhattbhavesh91/openai-whisper-benchmarking

gpu openai speech-to-text whisper

Last synced: about 1 month ago
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Comparing the performance of OpenAI's Whisper model on a GPU vs OpenAI's API

Host: GitHub
URL: https://github.com/bhattbhavesh91/openai-whisper-benchmarking
Owner: bhattbhavesh91
License: apache-2.0
Created: 2023-10-05T15:53:18.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2024-07-07T07:27:37.000Z (6 months ago)
Last Synced: 2024-07-07T08:39:18.985Z (6 months ago)
Topics: gpu, openai, speech-to-text, whisper
Language: Jupyter Notebook
Homepage:
Size: 343 KB
Stars: 1
Watchers: 3
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE

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README

OpenAI's Whisper Model Showdown: GPU vs. OpenAI API - Which Transcribes Audio to Text Faster?

In this video, We will delve deep into the world of AI-powered transcription with OpenAI's Whisper model! If you're wondering about investing in a high-performance GPU or harnessing the convenience of OpenAI's API for your audio-to-text tasks, you're in the right place! I've carried out an exhaustive benchmarking analysis to assist you in making an informed choice. Watch the complete video where I've thoroughly tested the Whisper model, comparing the speed and accuracy of GPU-based transcription with the efficiency of OpenAI's API. I'll guide you through the entire process and share my insights, so you can pick the optimal solution for your transcription projects. Stay tuned for the latest trends in AI and transcription!