Package: audio.whisper 0.5.0

Jan Wijffels

audio.whisper: Transcribe Audio Files using the "Whisper" Automatic Speech Recognition Model

The "Whisper" models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (Automatic Speech Recognition) as well as translated into English (speech translation). The package is an "Rcpp" wrapper around the standalone C++ implementation provided at <https://github.com/ggerganov/whisper.cpp>. There are 10 pretrained models available of different sizes and language capabilities. "Whisper" is explained in the paper: 'Robust Speech Recognition via Large-Scale Weak Supervision' by Radford et al. (2022), available at <arxiv:2212.04356>.

Authors:Jan Wijffels [aut, cre, cph], David Reid [ctb, cph], Georgi Gerganov [ctb, cph], BNOSAC [cph]

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audio.whisper.pdf |audio.whisper.html
audio.whisper/json (API)
NEWS

# Install 'audio.whisper' in R:
install.packages('audio.whisper', repos = c('https://community.r-multiverse.org', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bnosac/audio.whisper/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

4.68 score 133 stars 36 scripts 1 mentions 5 exports 1 dependencies

Last updated from:03904914c7 (on 0.5.0). Checks:4 NOTE, 2 OK, 5 WARNING, 2 ERROR. Indexed: no.

TargetResultTotal timeArtifact
linux-devel-arm64NOTE296
linux-devel-x86_64NOTE334
source / vignettesOK246
linux-release-arm64NOTE329
linux-release-x86_64NOTE321
macos-devel-arm64WARNING327
macos-devel-x86_64ERROR536
macos-release-arm64WARNING253
macos-release-x86_64ERROR493
windows-develWARNING542
windows-releaseWARNING455
windows-oldrelWARNING448
wasm-releaseOK175

Exports:vadwhisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp