{ "_id": "6a27b18f24555f66ed5366f4", "Package": "audio.whisper", "Type": "Package", "Title": "Transcribe Audio Files using the \"Whisper\" Automatic Speech\nRecognition Model", "Version": "0.5.0", "Maintainer": "Jan Wijffels ", "Authors@R": "c(\nperson('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be', comment = \"R wrapper\"),\nperson('David', 'Reid', role = c('ctb', 'cph'), comment = \"Files in src/dr_libs folder\"),\nperson('Georgi', 'Gerganov', role = c('ctb', 'cph'), comment = \"Files in src/whisper_cpp and files in inst folder\"),\nperson('BNOSAC', role = 'cph', comment = \"R wrapper\"))", "Description": "The \"Whisper\" models are trained for speech recognition\nand translation tasks, capable of transcribing speech audio\ninto the text in the language it is spoken (Automatic Speech\nRecognition) as well as translated into English (speech\ntranslation). The package is an \"Rcpp\" wrapper around the\nstandalone C++ implementation provided at\n. There are 10\npretrained models available of different sizes and language\ncapabilities. \"Whisper\" is explained in the paper: 'Robust\nSpeech Recognition via Large-Scale Weak Supervision' by Radford\net al. (2022), available at .", "License": "MIT + file LICENSE", "URL": "https://github.com/bnosac/audio.whisper", "Encoding": "UTF-8", "SystemRequirements": "GNU make, CMake (>= 3.5)", "RoxygenNote": "7.3.3", "Remotes": [ "bnosac/audio.vadwebrtc" ], "Config/pak/sysreqs": "cmake make", "Repository": "https://test.r-universe.dev", "Date/Publication": "2026-01-07 22:30:56 UTC", "RemoteUrl": "https://github.com/bnosac/audio.whisper", "RemoteRef": "0.5.0", "RemoteSha": "03904914c7dd3b35b15719a6b4901635dedcdbb9", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-08 08:06:07 UTC", "User": "root" }, "Author": "Jan Wijffels [aut, cre, cph] (R wrapper),\nDavid Reid [ctb, cph] (Files in src/dr_libs folder),\nGeorgi Gerganov [ctb, cph] (Files in src/whisper_cpp and files in inst\nfolder),\nBNOSAC [cph] (R wrapper)", "MD5sum": "21407a8afeda30c652ef8eacbe562c28", "_user": "test", "_type": "src", "_file": "audio.whisper_0.5.0.tar.gz", "_fileid": 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