Package: audio.whisper 0.4.2

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

4.65 score 130 stars 34 scripts 1 mentions 4 exports 1 dependencies

Last updated from:ca36a0714e (on 0.4.2). Checks:11 WARNING, 2 OK. Indexed: no.

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linux-devel-x86_64WARNING275
source / vignettesOK236
linux-release-arm64WARNING263
linux-release-x86_64WARNING283
macos-release-arm64WARNING207
macos-release-x86_64WARNING449
macos-oldrel-arm64WARNING205
macos-oldrel-x86_64WARNING418
windows-develWARNING341
windows-releaseWARNING358
windows-oldrelWARNING363
wasm-releaseOK154

Exports:whisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp