multimodal-whisper
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
Target: Learning & research. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- Whisper - Robust Speech Recognition
- When to use Whisper
- Quick start
- Installation
- Basic transcription
- Model sizes
- Transcription options
- Language specification
OpenAI's multilingual speech recognition model. Use when: Speech-to-text transcription (99 languages) Podcast/video transcription Meeting notes automation Translation to English Noisy audio transcription Multilingual audio processing Metrics: 72,900+ GitHub stars 99 languages supported Trained on 680,000 hours of audio MIT License Use alternatives instead: AssemblyAI: Managed API, speaker diarization Deepgram: Real-time streaming ASR Google Speech-to-Text: Cloud-based | Model | Parameters | English-only | Multilingual | Speed | VRAM | |-------|------------|--------------|--------------|-------|------| | tiny | 39M | ✓ | ✓ | 32x | 1 GB | | base | 74M | ✓ | ✓ | 16x | 1 GB | | small | 244M | ✓ | ✓ | 6x | 2 GB | | medium | 769M | ✓ | ✓ | 2x | 5 GB | | large | 1550M | ✗ | ✓ | 1x | 10 GB | | turbo | 809M | ✗ | ✓ | 8x | 6 GB | Recommendation: Use turbo for best speed/quality, base for prototyping 1. Use turbo model - Best speed/quality for English 2. Specify language - Faster than auto-detect 3. Add initial prompt - Improves technical terms 4. Use GPU - 10-20× faster 5. Batch process - More efficient 6. Convert to WAV - Better compatibility 7. Split long audio - 30 min audio 3. Speaker id
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- davila7/claude-code-templates
- Source file
- cli-tool/components/skills/ai-research/multimodal-whisper/SKILL.md
- Fixed revision
- 21be197f100a12b8d0dd9a211cc244c8179f84d3
Requirements
- Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.
A small first task
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Author: davila7/claude-code-templates · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T14:01:43.272Z.
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