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

4.72 score 137 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.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE310
linux-devel-x86_64NOTE325
source / vignettesOK235
linux-release-arm64NOTE294
linux-release-x86_64NOTE314
macos-devel-arm64WARNING271
macos-devel-x86_64ERROR561
macos-release-arm64WARNING235
macos-release-x86_64ERROR544
windows-develWARNING467
windows-releaseWARNING446
windows-oldrelWARNING509
wasm-releaseOK167

Exports:vadwhisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp