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://test.r-universe.dev', '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

4.69 score 133 stars 37 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-arm64NOTE316
linux-devel-x86_64NOTE315
source / vignettesOK295
linux-release-arm64NOTE304
linux-release-x86_64NOTE329
macos-devel-arm64WARNING245
macos-devel-x86_64ERROR671
macos-release-arm64WARNING319
macos-release-x86_64ERROR563
windows-develWARNING518
windows-releaseWARNING447
windows-oldrelWARNING444
wasm-releaseOK171

Exports:vadwhisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp