Whisper large-v3
Whisper Large v3: OpenAI's Multilingual Speech Recognition Model
Model Overview
Whisper Large v3 is OpenAI's latest and most capable automatic speech recognition (ASR) model, released in November 2023. Trained on 5 million hours of labeled audio data spanning 100+ languages, Whisper Large v3 achieves state-of-the-art word error rates across a broad range of languages and accents. It supports multilingual speech recognition, speech translation (to English), language identification, and voice activity detection.
✨ Key Features
| Feature | Description |
|---|---|
| Multilingual ASR | Transcription in 100+ languages with state-of-the-art accuracy |
| Speech Translation | Direct translation of speech from any supported language to English |
| 5M Hours Training | Trained on the largest labeled audio dataset used for ASR |
| Long-Form Audio | Handles audio files of arbitrary length via sliding window chunking |
| Open Weights | Released as open-source on HuggingFace (Apache 2.0) |
📊 Benchmarks (Word Error Rate — lower is better)
| Language | WER |
|---|---|
| English | ~2.7% |
| Spanish | ~3.0% |
| French | ~4.2% |
| German | ~3.8% |
| Chinese | ~7.5% |
🔗 Resources
| Resource | Link |
|---|---|
| HuggingFace | openai/whisper-large-v3 |
| GitHub | openai/whisper |
| Paper | Robust Speech Recognition via Large-Scale Weak Supervision |
📜 License
MIT License — Fully open-source, free for commercial and non-commercial use.
Key Features
Supports speech-to-text transcription and translation
Trained on 1M hours of weakly labeled audio data
Highly accurate across 99+ languages
Permissive MIT open-source license
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Verified Sources
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Model Specs
Parameters
1.55B
Context Window
30s
License
MIT
Deployment
Resources & Links
Lineage
Curator Notes
Released during OpenAI DevDay. Uses 128 mel frequency bins and processes audio in 30-second sliding windows.
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