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whisper

Native R 'torch' Implementation of 'OpenAI' 'Whisper'

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.

Versions across snapshots

VersionRepositoryFileSize
0.3.0 rolling linux/jammy R-4.5 whisper_0.3.0.tar.gz 578.3 KiB
0.3.0 rolling linux/noble R-4.5 whisper_0.3.0.tar.gz 576.7 KiB
0.3.0 rolling source/ R- whisper_0.3.0.tar.gz 356.6 KiB
0.3.0 latest linux/jammy R-4.5 whisper_0.3.0.tar.gz 578.3 KiB
0.3.0 latest linux/noble R-4.5 whisper_0.3.0.tar.gz 576.7 KiB
0.3.0 latest source/ R- whisper_0.3.0.tar.gz 356.6 KiB
0.3.0 2026-04-26 source/ R- whisper_0.3.0.tar.gz 356.6 KiB
0.3.0 2026-04-23 source/ R- whisper_0.3.0.tar.gz 356.6 KiB
0.3.0 2026-04-09 windows/windows R-4.5 whisper_0.3.0.zip 582.1 KiB

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