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 125 stars 32 scripts 1 mentions 4 exports 1 dependencies

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

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linux-devel-x86_64WARNING352
source / vignettesOK439
linux-release-arm64WARNING271
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macos-release-arm64WARNING170
macos-release-x86_64WARNING374
macos-oldrel-arm64WARNING171
macos-oldrel-x86_64WARNING403
windows-develWARNING347
windows-releaseWARNING374
windows-oldrelWARNING339
wasm-releaseOK354

Exports:whisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp