Package: audio.whisper 0.4.1

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

On CRAN:

Conda:

cpp

4.60 score 121 stars 33 scripts 1 mentions 4 exports 1 dependencies

Last updated 1 years agofrom:4b5c6a288c (on 0.4.1). Checks:2 OK, 11 WARNING. Indexed: no.

TargetResultTotal time
source / vignettesOK211
linux-devel-x86_64WARNING322
linux-devel-arm64WARNING298
linux-release-x86_64WARNING282
linux-release-arm64WARNING275
macos-release-x86_64WARNING276
macos-release-arm64WARNING218
macos-oldrel-x86_64WARNING281
macos-oldrel-arm64WARNING161
windows-develWARNING426
windows-releaseWARNING421
windows-oldrelWARNING427
wasm-releaseOK225

Exports:whisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp