Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

this time I only explain work flow #402

Open
wants to merge 2 commits into
base: main
Choose a base branch
from

Conversation

Harsh9485
Copy link

@Harsh9485 Harsh9485 commented Mar 29, 2025

/claim #361

Day 1: Research

Choosing Whisper or Whisper + ONNX

I initially considered using Whisper AI for audio-to-text conversion. However, during my research, I came across ONNX, a tool designed to optimize AI models for different hardware. This caught my interest, so I spent my free time understanding how it works and whether it could improve this feature.

While ONNX offers significant performance optimizations, I found it quite complex, especially given my current knowledge level—I’ve only recently started learning about AI. Despite that, I gathered some key insights into how ONNX works and how it might be beneficial for this project.

ONNX Overview

ONNX is a framework that optimizes AI models based on the hardware they run on. This raised a key question for me: Should I build this feature with ONNX, or stick to Whisper AI without additional optimizations? I'm still exploring this decision and would appreciate any insights.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant