# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "audio.whisper" in publications use:'
type: software
license: MIT
title: 'audio.whisper: Transcribe Audio Files using the "Whisper" Automatic Speech
  Recognition Model'
version: 0.4.1
doi: 10.32614/CRAN.package.audio.whisper
abstract: '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:
- family-names: Wijffels
  given-names: Jan
  email: jwijffels@bnosac.be
repository: https://r-multiverse.r-universe.dev
repository-code: https://github.com/bnosac/audio.whisper
commit: 4b5c6a288c0f46a4cdc47f50d2d35395d3e32194
url: https://github.com/bnosac/audio.whisper
contact:
- family-names: Wijffels
  given-names: Jan
  email: jwijffels@bnosac.be