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

4.62 score 125 stars 33 scripts 1 mentions 4 exports 1 dependencies

Last updated 1 years ago from:4b5c6a288c (on 0.4.1). Checks:10 WARNING, 3 OK, 1 ERROR. Indexed: no.

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linux-devel-x86_64WARNING288
source / vignettesOK215
linux-release-arm64WARNING266
linux-release-x86_64WARNING291
macos-release-arm64WARNING203
macos-release-x86_64WARNING433
macos-oldrel-arm64WARNING234
macos-oldrel-x86_64ERROR464
windows-develWARNING364
windows-releaseWARNING347
windows-oldrelWARNING382
wasm-releaseOK151
wasm-oldrelOK159

Exports:whisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp