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whisper  

Native R 'torch' Implementation of 'OpenAI' 'Whisper'
View on CRAN: Click here


Download and install whisper package within the R console
Install from CRAN:
install.packages("whisper")

Install from Github:
library("remotes")
install_github("cran/whisper")

Install by package version:
library("remotes")
install_version("whisper", "0.1.0")



Attach the package and use:
library("whisper")
Maintained by
Troy Hernandez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-06
Latest Update: 2026-02-06
Description:
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.
How to cite:
Troy Hernandez (2026). whisper: Native R 'torch' Implementation of 'OpenAI' 'Whisper'. R package version 0.1.0, https://cran.r-project.org/web/packages/whisper. Accessed 29 Aug. 2026.
Previous versions and publish date:
(2026-08-03 23:50), 0.1.0 (2026-02-06 21:00), 0.3.0 (2026-03-13 23:30), 0.4.0 (2026-06-20 04:20)
Other packages that cited whisper R package
View whisper citation profile
Other R packages that whisper depends, imports, suggests or enhances
Complete documentation for whisper
Functions, R codes and Examples using the whisper R package
Full whisper package functions and examples
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