wyoming-whisper-rs/examples/audio_transcription.rs

128 lines
4.6 KiB
Rust

// This example is not going to build in this folder.
// You need to copy this code into your project and add the dependencies whisper_rs and hound in your cargo.toml
use hound;
use std::fs::File;
use std::io::Write;
use whisper_rs::{FullParams, SamplingStrategy, WhisperContext, WhisperContextParameters};
/// Loads a context and model, processes an audio file, and prints the resulting transcript to stdout.
fn main() -> Result<(), &'static str> {
let model_path = std::env::args()
.nth(1)
.expect("Please specify path to model as argument 1");
let wav_path = std::env::args()
.nth(2)
.expect("Please specify path to wav file as argument 2");
let mut context_param = WhisperContextParameters::default();
// Enable DTW token level timestamp for known model by using model preset
context_param.dtw_parameters.mode = whisper_rs::DtwMode::ModelPreset {
model_preset: whisper_rs::DtwModelPreset::BaseEn,
};
// Enable DTW token level timestamp for unknown model by providing custom aheads
// see details https://github.com/ggerganov/whisper.cpp/pull/1485#discussion_r1519681143
// values corresponds to ggml-base.en.bin, result will be the same as with DtwModelPreset::BaseEn
let custom_aheads = [
(3, 1),
(4, 2),
(4, 3),
(4, 7),
(5, 1),
(5, 2),
(5, 4),
(5, 6),
]
.map(|(n_text_layer, n_head)| whisper_rs::DtwAhead {
n_text_layer,
n_head,
});
context_param.dtw_parameters.mode = whisper_rs::DtwMode::Custom {
aheads: &custom_aheads,
};
// Load a context and model
let ctx =
WhisperContext::new_with_params(&model_path, context_param).expect("failed to load model");
// Create a state
let mut state = ctx.create_state().expect("failed to create state");
// Create a params object for running the model.
// The number of past samples to consider defaults to 0.
let mut params = FullParams::new(SamplingStrategy::Greedy { best_of: 0 });
// Edit params as needed.
// Set the number of threads to use to 1.
params.set_n_threads(1);
// Enable translation.
params.set_translate(true);
// Set the language to translate to to English.
params.set_language(Some("en"));
// Disable anything that prints to stdout.
params.set_print_special(false);
params.set_print_progress(false);
params.set_print_realtime(false);
params.set_print_timestamps(false);
// Enable token level timestamps
params.set_token_timestamps(true);
// Open the audio file.
let reader = hound::WavReader::open(wav_path).expect("failed to open file");
#[allow(unused_variables)]
let hound::WavSpec {
channels,
sample_rate,
bits_per_sample,
..
} = reader.spec();
// Convert the audio to floating point samples.
let samples: Vec<i16> = reader
.into_samples::<i16>()
.map(|x| x.expect("Invalid sample"))
.collect();
let mut audio = vec![0.0f32; samples.len().try_into().unwrap()];
whisper_rs::convert_integer_to_float_audio(&samples, &mut audio).expect("Conversion error");
// Convert audio to 16KHz mono f32 samples, as required by the model.
// These utilities are provided for convenience, but can be replaced with custom conversion logic.
if channels == 2 {
audio = whisper_rs::convert_stereo_to_mono_audio(&audio).expect("Conversion error");
} else if channels != 1 {
panic!(">2 channels unsupported");
}
if sample_rate != 16000 {
panic!("sample rate must be 16KHz");
}
// Run the model.
state.full(params, &audio[..]).expect("failed to run model");
// Create a file to write the transcript to.
let mut file = File::create("transcript.txt").expect("failed to create file");
// Iterate through the segments of the transcript.
for segment in state.as_iter() {
// Get the transcribed text and timestamps for the current segment.
let start_timestamp = segment.start_timestamp();
let end_timestamp = segment.end_timestamp();
let first_token_dtw_ts = segment.get_token(0).map_or(-1, |t| t.token_data().t_dtw);
// Print the segment to stdout.
println!(
"[{} - {} ({})]: {}",
start_timestamp, end_timestamp, first_token_dtw_ts, segment
);
// Format the segment information as a string.
let line = format!("[{} - {}]: {}\n", start_timestamp, end_timestamp, segment);
// Write the segment information to the file.
file.write_all(line.as_bytes())
.expect("failed to write to file");
}
Ok(())
}