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-arm64NOTE325
linux-devel-x86_64NOTE301
source / vignettesOK256
linux-release-arm64NOTE304
linux-release-x86_64NOTE334
macos-release-arm64WARNING292
macos-release-x86_64ERROR600
macos-oldrel-arm64WARNING265
macos-oldrel-x86_64ERROR696
windows-develWARNING466
windows-releaseWARNING507
windows-oldrelWARNING461
wasm-releaseOK209

Exports:vadwhisperwhisper_benchmarkwhisper_download_modelwhisper_languages

Dependencies:Rcpp