whisper
0.4.0Native R 'torch' Implementation of 'OpenAI' 'Whisper'
Overview
Speech-to-text transcription using a native R 'torch' implementation of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters) with integrated download from 'HuggingFace' <https://huggingface.co/> via the 'hfhub' package. Provides automatic speech recognition with optional language detection and translation to English. Audio preprocessing, mel spectrogram computation, and transformer-based encoder-decoder inference are all implemented in R using the 'torch' package.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Functions
94 16 exported
Complexity
5.3 avg / 36 max
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94 nodes / 138 edges
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People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.4.0Latest
- RR 4.6.0 released · 2026-04-24
- 0.3.02026-03-14 · diff ↗
- 0.1.02026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-02-06
- Total releases
- 3 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet