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Whisper Base

by OpenAI

7.5
KYI Score

Balanced speech recognition model for general use.

AUDIOMITFREE74M
Official WebsiteHugging Face

Quick Facts

Model Size
74M
Context Length
N/A
Release Date
Sep 2022
License
MIT
Provider
OpenAI
KYI Score
7.5/10

Best For

→Transcription
→Subtitles
→Voice assistants
→General use

Performance Metrics

Speed

10/10

Quality

7/10

Cost Efficiency

10/10

Specifications

Parameters
74M
License
MIT
Pricing
free
Release Date
September 21, 2022
Category
audio

Key Features

FastBalanced99 languagesEfficient

Pros & Cons

Pros

  • ✓Good balance
  • ✓Fast
  • ✓MIT license
  • ✓Easy to use

Cons

  • !Lower accuracy than larger models
  • !May struggle with accents

Ideal Use Cases

Transcription

Subtitles

Voice assistants

General use

Whisper Base FAQ

What is Whisper Base best used for?

Whisper Base excels at Transcription, Subtitles, Voice assistants. Good balance, making it ideal for production applications requiring audio capabilities.

How does Whisper Base compare to other models?

Whisper Base has a KYI score of 7.5/10, with 74M parameters. It offers good balance and fast. Check our comparison pages for detailed benchmarks.

What are the system requirements for Whisper Base?

Whisper Base with 74M requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is variable.

Is Whisper Base free to use?

Yes, Whisper Base is free and licensed under MIT. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.

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