3 releases
0.1.3 | Dec 5, 2023 |
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0.1.2 | Nov 26, 2023 |
0.1.1 | Nov 25, 2023 |
0.1.0 |
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#555 in Machine learning
30 downloads per month
23KB
559 lines
rusty-whisper
Rust implementation of Whisper. More information about model: https://github.com/openai/whisper
This crate is based on tract.
Quick start
Download weights and example audio file and run simple inference code:
use rusty_whisper::Whisper;
fn main() {
let whisper = Whisper::new(
"weights/encoder.onnx",
"weights/decoder.onnx",
"weights/multilingual.tiktoken",
"weights/positional_embedding.npz",
"weights/mel_filters.npz",
);
let result = whisper.recognize_from_audio("data/audio.wav");
println!("{}", result);
}
The model works only with 16-bit WAV files, so make sure to convert your input before running the tool. For example, you can use ffmpeg like this:
ffmpeg -i input.mp3 -ar 16000 -ac 1 -c:a pcm_s16le output.wav
Dependencies
~30–41MB
~558K SLoC