oww-rs 0.3.3

Minimalistic version of the OpenWakeWord inference in Rust and ONNX runtime
Documentation 
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use crate::config::{SpeechUnlockType, UnlockConfig};
use crate::oww::OwwModel;

pub(crate) trait Model: Send + Sync {
    fn frame_length(&self) -> u32;
    fn detect(&mut self, data: Vec<f32>) -> Option<Detection>;
    fn detect_i16(&mut self, data: Vec<i16>) -> Option<Detection>;
}

pub fn new_model(config: UnlockConfig) -> Result<Box<dyn Model>, String> {
    match config.unlock_type {
        SpeechUnlockType::OpenWakeWordAlexa => {
            new_oww_model(config, SpeechUnlockType::OpenWakeWordAlexa)
        }
        SpeechUnlockType::OpenWakeWordHeyMycroft => {
            new_oww_model(config, SpeechUnlockType::OpenWakeWordHeyMycroft)
        }
        SpeechUnlockType::OpenWakeWordHeyJarvis => {
            new_oww_model(config, SpeechUnlockType::OpenWakeWordHeyJarvis)
        }
        SpeechUnlockType::OpenWakeWordAhojHugo => {
            new_oww_model(config, SpeechUnlockType::OpenWakeWordAhojHugo)
        }
    }
}

#[derive(Debug, Clone)]
pub struct Detection {
    pub detected: bool,
    pub probability: f32,
    pub duration_ms: u128,
}

impl Detection {
    pub fn none() -> Detection {
        Detection {
            detected: false,
            probability: 0.0,
            duration_ms: 0,
        }
    }
}

fn new_oww_model(config: UnlockConfig, unlock_type: SpeechUnlockType) -> Result<Box<dyn Model>, String> {
    let model_opt = OwwModel::new(unlock_type, config.detection_threshold);

    match model_opt {
        Ok(model) => Ok(Box::new(model)),
        Err(e) => Err(format!("OWW: {}", e)),
    }
}