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

4.71 score 136 stars 38 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-arm64NOTE327
linux-devel-x86_64NOTE322
source / vignettesOK251
linux-release-arm64NOTE322
linux-release-x86_64NOTE303
macos-devel-arm64WARNING244
macos-devel-x86_64ERROR740
macos-release-arm64WARNING356
macos-release-x86_64ERROR475
windows-develWARNING487
windows-releaseWARNING494
windows-oldrelWARNING463
wasm-releaseOK183

Exports:vadwhisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp