greedy_decode

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 

greedy_decode function

<dl><dt>model</dt>
<dd>WhisperModel</dd>
<dt>encoder_output</dt>
<dd>Encoder hidden states</dd>
<dt>initial_tokens</dt>
<dd>Initial token tensor</dd>
<dt>tokenizer</dt>
<dd>Tokenizer</dd>
<dt>max_length</dt>
<dd>Maximum output length</dd>
<dt>device</dt>
<dd>Device</dd></dl>

Arguments

Greedy Decoding — greedy_decode

<dl>

<dt>model</dt>
<dd>WhisperModel</dd>


<dt>encoder_output</dt>
<dd>Encoder hidden states</dd>


<dt>initial_tokens</dt>
<dd>Initial token tensor</dd>


<dt>tokenizer</dt>
<dd>Tokenizer</dd>


<dt>max_length</dt>
<dd>Maximum output length</dd>


<dt>device</dt>
<dd>Device</dd>

</dl>

greedy_decode: Greedy Decoding

Description

Usage

Value

Arguments