WHISPER_SAMPLE_RATE

<p>Convert audio files to mel spectrograms for Whisper input.
Whisper Audio Constants</p>

datasets

Speech-to-text transcription using a native R 'torch' implementation
of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports
multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters)
with integrated download from 'HuggingFace' <https://huggingface.co/> via the
'hfhub' package. Provides automatic speech recognition with optional language
detection and translation to English. Audio preprocessing, mel spectrogram
computation, and transformer-based encoder-decoder inference are all
implemented in R using the 'torch' package.

Troy Hernandez

whisper

Native R 'torch' Implementation of 'OpenAI' 'Whisper'

cornball.ai 

OpenAI 

WHISPER_SAMPLE_RATE function

<p>An object of class <code>integer</code> of length 1.</p>

WHISPER_SAMPLE_RATE: Audio Preprocessing for Whisper

Description

Usage

Arguments

Format