bnosac. See also theR-universe documentation.Package: audio.whisper 0.4.1
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:
audio.whisper_0.4.1.tar.gz
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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://test.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bnosac/audio.whisper/issues
Last updated 7 months agofrom:4b5c6a288c (on 0.4.1). Checks:OK: 1 WARNING: 8. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-win-x86_64 | WARNING | Nov 02 2024 |
| R-4.5-linux-x86_64 | WARNING | Nov 02 2024 |
| R-4.4-win-x86_64 | WARNING | Nov 02 2024 |
| R-4.4-mac-x86_64 | WARNING | Nov 02 2024 |
| R-4.4-mac-aarch64 | WARNING | Nov 02 2024 |
| R-4.3-win-x86_64 | WARNING | Nov 02 2024 |
| R-4.3-mac-x86_64 | WARNING | Nov 02 2024 |
| R-4.3-mac-aarch64 | WARNING | Nov 02 2024 |
Exports:whisperwhisper_benchmarkwhisper_download_modelwhisper_languages
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Transcribe audio files using a Whisper model | predict.whisper |
| Predict to which channel a transcription section belongs | predict.whisper_transcription |
| Automatic Speech Recognition using Whisper | whisper |
| Benchmark a Whisper model | whisper_benchmark |
| Download a pretrained Whisper model | whisper_download_model |
| Get the language capabilities of Whisper | whisper_languages |
