{ "_id": "6a1efdffb401979e73419ced", "Package": "whisper", "Title": "Native R 'torch' Implementation of 'OpenAI' 'Whisper'", "Version": "0.3.0", "Authors@R": "c(\nperson(\"Troy\", \"Hernandez\", role = c(\"aut\", \"cre\"),\nemail = \"troy@cornball.ai\",\ncomment = c(ORCID = \"0009-0005-4248-604X\")),\nperson(\"cornball.ai\", role = \"cph\"),\nperson(\"OpenAI\", role = \"cph\",\ncomment = \"Whisper model architecture and mel filterbank data (MIT license)\")\n)", "Description": "Speech-to-text transcription using a native R 'torch'\nimplementation of 'OpenAI' 'Whisper' model\n. Supports multiple model\nsizes from tiny (39M parameters) to large-v3 (1.5B parameters)\nwith integrated download from 'HuggingFace'\n via the 'hfhub' package. Provides\nautomatic speech recognition with optional language detection\nand translation to English. Audio preprocessing, mel\nspectrogram computation, and transformer-based encoder-decoder\ninference are all implemented in R using the 'torch' package.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "URL": "https://github.com/cornball-ai/whisper", "BugReports": "https://github.com/cornball-ai/whisper/issues", "Config/pak/sysreqs": "cmake make libavfilter-dev libuv1-dev libssl-dev", "Repository": "https://cornball-ai.r-universe.dev", "Date/Publication": "2026-03-19 15:49:53 UTC", "RemoteUrl": "https://github.com/cornball-ai/whisper", "RemoteRef": "HEAD", "RemoteSha": "1a34db6b99ba8e7570334ae2e7dd1dcfa2f7115c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-18 09:44:21 UTC", "User": "root" }, "Author": "Troy Hernandez [aut, cre] (ORCID:\n),\ncornball.ai [cph],\nOpenAI [cph] (Whisper model architecture and mel filterbank data (MIT\nlicense))", "Maintainer": "Troy Hernandez ", "MD5sum": "a4adcbaf36f82338950b816dc991c105", "_user": "cornball-ai", "_type": "src", "_file": 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