Activefastaudio Open Source

Whisper

by OpenAI· Released September 2022

Whisper is a general-purpose speech recognition model by OpenAI, capable of transcribing speech in multiple languages and translating it into English. It is trained on a large dataset of diverse audio and is robust to accents, background noise, and technical jargon. Whisper is available as an open-source model and also via OpenAI's API.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

$0.006 per minute (audio input)

Output cost

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Context window

—

Max output

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Modalities

audio

Parameters

1.5B (large-v3)

License

MIT

Capabilities

Speech-to-TextMultilingual TranscriptionLanguage TranslationRobust to NoisePunctuation and Formatting

Best For

Accurate speech transcription and translation across many languages, especially in noisy environments.

Strengths

High accuracy across diverse languages and accents
Robust to background noise and technical jargon
Supports transcription and translation in a single model
Open-source availability allows local deployment

Limitations

No real-time streaming support in base model
Larger models require significant computational resources
May struggle with very long audio without chunking
Not optimized for speaker diarization

Use Cases

Transcribing meetings and lectures

Generating subtitles for videos

Voice-controlled applications

Language learning tools

Medical transcription

Call center analytics

Podcast transcription

Improvements Over Previous Model

Improved accuracy on low-resource languages
Better handling of punctuation and formatting
Reduced word error rate on common benchmarks
Enhanced robustness to background noise and music

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