noise suppression added via nnnoiseless + vad + gain-normalizer + few frontend changes
This commit is contained in:
parent
bd8e2c989d
commit
88ecf21b2c
73 changed files with 1235 additions and 112 deletions
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@ -23,6 +23,7 @@ rustpotter.workspace = true
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parking_lot.workspace = true
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toml.workspace = true
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sha2.workspace = true
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nnnoiseless = { workspace = true, optional = true }
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# pv_recorder = { workspace = true, optional = true }
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vosk = { version = "0.3.1", optional = true }
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@ -33,5 +34,5 @@ tokio = { version = "1", features = ["sync"], optional = true }
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[features]
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default = ["jarvis_app"]
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jarvis_app = ["vosk", "intent-classifier", "tokio"]
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jarvis_app = ["vosk", "intent-classifier", "tokio", "nnnoiseless"]
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intent = ["intent-classifier", "tokio"]
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118
crates/jarvis-core/src/audio_processing.rs
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118
crates/jarvis-core/src/audio_processing.rs
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@ -0,0 +1,118 @@
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pub mod noise_suppression;
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pub mod vad;
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pub mod gain_normalizer;
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use once_cell::sync::OnceCell;
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use std::sync::Mutex;
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use crate::config::structs::{NoiseSuppressionBackend, VadBackend};
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use crate::DB;
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static PROCESSOR: OnceCell<Mutex<AudioProcessor>> = OnceCell::new();
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#[derive(Debug, Clone)]
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pub struct ProcessedAudio {
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pub samples: Vec<i16>,
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pub is_voice: bool,
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pub vad_confidence: f32,
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}
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struct AudioProcessor {
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ns_backend: NoiseSuppressionBackend,
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vad_backend: VadBackend,
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gain_enabled: bool,
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}
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impl AudioProcessor {
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fn new(ns: NoiseSuppressionBackend, vad: VadBackend, gain: bool) -> Self {
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// init backends
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noise_suppression::init(ns);
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vad::init(vad);
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if gain {
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gain_normalizer::init();
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}
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Self {
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ns_backend: ns,
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vad_backend: vad,
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gain_enabled: gain,
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}
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}
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fn process(&mut self, input: &[i16]) -> ProcessedAudio {
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let mut samples = input.to_vec();
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// step 1: gain normalization (before other processing)
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if self.gain_enabled {
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samples = gain_normalizer::normalize(&samples);
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}
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// step 2: noise suppression
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samples = noise_suppression::process(&samples);
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// step 3: VAD
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let (is_voice, confidence) = vad::detect(&samples);
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ProcessedAudio {
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samples,
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is_voice,
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vad_confidence: confidence,
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}
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}
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fn reset(&mut self) {
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noise_suppression::reset();
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vad::reset();
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gain_normalizer::reset();
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}
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}
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pub fn init() -> Result<(), String> {
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if PROCESSOR.get().is_some() {
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return Ok(());
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}
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let (ns, vad, gain) = get_settings();
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info!("Initializing audio processing: NS={:?}, VAD={:?}, Gain={}", ns, vad, gain);
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let processor = AudioProcessor::new(ns, vad, gain);
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PROCESSOR
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.set(Mutex::new(processor))
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.map_err(|_| "Audio processor already initialized")?;
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info!("Audio processing initialized.");
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Ok(())
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}
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pub fn process(input: &[i16]) -> ProcessedAudio {
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match PROCESSOR.get() {
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Some(p) => p.lock().unwrap().process(input),
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None => ProcessedAudio {
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samples: input.to_vec(),
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is_voice: true,
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vad_confidence: 1.0,
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},
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}
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}
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pub fn reset() {
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if let Some(p) = PROCESSOR.get() {
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p.lock().unwrap().reset();
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}
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}
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fn get_settings() -> (NoiseSuppressionBackend, VadBackend, bool) {
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match DB.get() {
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Some(db) => {
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let settings = db.read();
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(settings.noise_suppression, settings.vad, settings.gain_normalizer)
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}
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None => (
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crate::config::DEFAULT_NOISE_SUPPRESSION,
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crate::config::DEFAULT_VAD,
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crate::config::DEFAULT_GAIN_NORMALIZER,
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),
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}
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}
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28
crates/jarvis-core/src/audio_processing/gain_normalizer.rs
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28
crates/jarvis-core/src/audio_processing/gain_normalizer.rs
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@ -0,0 +1,28 @@
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mod simple;
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use once_cell::sync::OnceCell;
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use std::sync::Mutex;
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static NORMALIZER: OnceCell<Mutex<simple::GainNormalizer>> = OnceCell::new();
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pub fn init() {
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if NORMALIZER.get().is_some() {
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return;
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}
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NORMALIZER.set(Mutex::new(simple::GainNormalizer::new())).ok();
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info!("Gain normalizer: enabled");
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}
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pub fn normalize(input: &[i16]) -> Vec<i16> {
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match NORMALIZER.get() {
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Some(n) => n.lock().unwrap().normalize(input),
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None => input.to_vec(),
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}
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}
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pub fn reset() {
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if let Some(n) = NORMALIZER.get() {
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n.lock().unwrap().reset();
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}
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}
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@ -0,0 +1,47 @@
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use crate::config;
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pub struct GainNormalizer {
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current_gain: f32,
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}
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impl GainNormalizer {
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pub fn new() -> Self {
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Self { current_gain: 1.0 }
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}
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pub fn normalize(&mut self, input: &[i16]) -> Vec<i16> {
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let rms = self.calculate_rms(input);
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if rms < 1.0 {
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return input.to_vec();
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}
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let target_gain = config::GAIN_TARGET_RMS / rms;
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let clamped_gain = target_gain.clamp(config::GAIN_MIN, config::GAIN_MAX);
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self.current_gain = self.current_gain * 0.9 + clamped_gain * 0.1;
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input.iter()
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.map(|&s| {
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let amplified = (s as f32) * self.current_gain;
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amplified.clamp(i16::MIN as f32, i16::MAX as f32) as i16
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})
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.collect()
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}
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pub fn reset(&mut self) {
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self.current_gain = 1.0;
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}
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fn calculate_rms(&self, samples: &[i16]) -> f32 {
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if samples.is_empty() {
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return 0.0;
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}
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let sum: f64 = samples.iter()
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.map(|&s| (s as f64).powi(2))
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.sum();
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(sum / samples.len() as f64).sqrt() as f32
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}
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}
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66
crates/jarvis-core/src/audio_processing/noise_suppression.rs
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66
crates/jarvis-core/src/audio_processing/noise_suppression.rs
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@ -0,0 +1,66 @@
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mod none;
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#[cfg(feature = "nnnoiseless")]
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mod nnnoiseless;
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use once_cell::sync::OnceCell;
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use std::sync::Mutex;
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use crate::config::structs::NoiseSuppressionBackend;
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static BACKEND: OnceCell<NoiseSuppressionBackend> = OnceCell::new();
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#[cfg(feature = "nnnoiseless")]
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static NNNOISELESS_STATE: OnceCell<Mutex<nnnoiseless::NnnoiselessNS>> = OnceCell::new();
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pub fn init(backend: NoiseSuppressionBackend) {
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if BACKEND.get().is_some() {
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return;
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}
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BACKEND.set(backend).ok();
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match backend {
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NoiseSuppressionBackend::None => {
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info!("Noise suppression: disabled");
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}
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#[cfg(feature = "nnnoiseless")]
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NoiseSuppressionBackend::Nnnoiseless => {
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NNNOISELESS_STATE.set(Mutex::new(nnnoiseless::NnnoiselessNS::new())).ok();
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info!("Noise suppression: Nnnoiseless");
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}
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#[cfg(not(feature = "nnnoiseless"))]
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NoiseSuppressionBackend::Nnnoiseless => {
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warn!("Nnnoiseless not compiled in, falling back to None");
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BACKEND.set(NoiseSuppressionBackend::None).ok();
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}
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}
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}
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pub fn process(input: &[i16]) -> Vec<i16> {
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match BACKEND.get() {
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Some(NoiseSuppressionBackend::None) | None => none::process(input),
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#[cfg(feature = "nnnoiseless")]
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Some(NoiseSuppressionBackend::Nnnoiseless) => {
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if let Some(state) = NNNOISELESS_STATE.get() {
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state.lock().unwrap().process(input)
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} else {
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none::process(input)
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}
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}
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#[cfg(not(feature = "nnnoiseless"))]
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Some(NoiseSuppressionBackend::Nnnoiseless) => none::process(input),
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}
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}
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pub fn reset() {
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match BACKEND.get() {
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#[cfg(feature = "nnnoiseless")]
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Some(NoiseSuppressionBackend::Nnnoiseless) => {
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if let Some(state) = NNNOISELESS_STATE.get() {
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state.lock().unwrap().reset();
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}
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}
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_ => {}
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}
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}
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@ -0,0 +1,51 @@
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use nnnoiseless::DenoiseState;
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use crate::config;
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pub struct NnnoiselessNS {
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state: Box<DenoiseState<'static>>,
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buffer: Vec<f32>,
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}
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impl NnnoiselessNS {
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pub fn new() -> Self {
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Self {
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state: DenoiseState::new(),
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buffer: Vec::with_capacity(config::NNNOISELESS_FRAME_SIZE * 2),
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}
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}
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pub fn process(&mut self, input: &[i16]) -> Vec<i16> {
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for &sample in input {
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self.buffer.push(sample as f32);
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}
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let mut output: Vec<i16> = Vec::with_capacity(input.len());
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while self.buffer.len() >= config::NNNOISELESS_FRAME_SIZE {
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let mut input_frame = [0.0f32; 480];
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let mut output_frame = [0.0f32; 480];
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input_frame.copy_from_slice(&self.buffer[..config::NNNOISELESS_FRAME_SIZE]);
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self.buffer.drain(..config::NNNOISELESS_FRAME_SIZE);
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// process: input -> output (denoised)
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let _ = self.state.process_frame(&mut output_frame, &input_frame);
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for &sample in &output_frame {
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let clamped = sample.clamp(i16::MIN as f32, i16::MAX as f32);
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output.push(clamped as i16);
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}
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}
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if output.is_empty() {
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return input.to_vec();
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}
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output
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}
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pub fn reset(&mut self) {
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self.state = DenoiseState::new();
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self.buffer.clear();
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}
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}
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// return unprocessed input
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pub fn process(input: &[i16]) -> Vec<i16> {
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input.to_vec()
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}
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72
crates/jarvis-core/src/audio_processing/vad.rs
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72
crates/jarvis-core/src/audio_processing/vad.rs
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mod none;
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mod energy;
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#[cfg(feature = "nnnoiseless")]
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mod nnnoiseless;
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use once_cell::sync::OnceCell;
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use std::sync::Mutex;
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use crate::config::structs::VadBackend;
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static BACKEND: OnceCell<VadBackend> = OnceCell::new();
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#[cfg(feature = "nnnoiseless")]
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static NNNOISELESS_STATE: OnceCell<Mutex<nnnoiseless::NnnoiselessVAD>> = OnceCell::new();
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pub fn init(backend: VadBackend) {
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if BACKEND.get().is_some() {
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return;
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}
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BACKEND.set(backend).ok();
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match backend {
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VadBackend::None => {
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info!("VAD: disabled");
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}
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VadBackend::Energy => {
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info!("VAD: Energy-based");
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}
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#[cfg(feature = "nnnoiseless")]
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VadBackend::Nnnoiseless => {
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NNNOISELESS_STATE.set(Mutex::new(nnnoiseless::NnnoiselessVAD::new())).ok();
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info!("VAD: Nnnoiseless");
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}
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#[cfg(not(feature = "nnnoiseless"))]
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VadBackend::Nnnoiseless => {
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warn!("Nnnoiseless not compiled in, falling back to Energy");
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BACKEND.set(VadBackend::Energy).ok();
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}
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}
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}
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// Returns (is_voice, confidence)
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pub fn detect(input: &[i16]) -> (bool, f32) {
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match BACKEND.get() {
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Some(VadBackend::None) | None => none::detect(input),
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Some(VadBackend::Energy) => energy::detect(input),
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#[cfg(feature = "nnnoiseless")]
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Some(VadBackend::Nnnoiseless) => {
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if let Some(state) = NNNOISELESS_STATE.get() {
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state.lock().unwrap().detect(input)
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} else {
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energy::detect(input)
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}
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}
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#[cfg(not(feature = "nnnoiseless"))]
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Some(VadBackend::Nnnoiseless) => energy::detect(input),
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}
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}
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pub fn reset() {
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match BACKEND.get() {
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#[cfg(feature = "nnnoiseless")]
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Some(VadBackend::Nnnoiseless) => {
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if let Some(state) = NNNOISELESS_STATE.get() {
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state.lock().unwrap().reset();
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}
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}
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_ => {}
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}
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}
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24
crates/jarvis-core/src/audio_processing/vad/energy.rs
Normal file
24
crates/jarvis-core/src/audio_processing/vad/energy.rs
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use crate::config;
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// Simple energy-based VAD
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pub fn detect(input: &[i16]) -> (bool, f32) {
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let rms = calculate_rms(input);
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let is_voice = rms > config::VAD_ENERGY_THRESHOLD;
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// normalize confidence to 0-1 range (rough approximation)
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let confidence = (rms / (config::VAD_ENERGY_THRESHOLD * 2.0)).min(1.0);
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(is_voice, confidence)
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}
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fn calculate_rms(samples: &[i16]) -> f32 {
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if samples.is_empty() {
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return 0.0;
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}
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let sum: f64 = samples.iter()
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.map(|&s| (s as f64).powi(2))
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.sum();
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(sum / samples.len() as f64).sqrt() as f32
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}
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51
crates/jarvis-core/src/audio_processing/vad/nnnoiseless.rs
Normal file
51
crates/jarvis-core/src/audio_processing/vad/nnnoiseless.rs
Normal file
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use nnnoiseless::DenoiseState;
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use crate::config;
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pub struct NnnoiselessVAD {
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state: Box<DenoiseState<'static>>,
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buffer: Vec<f32>,
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}
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impl NnnoiselessVAD {
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pub fn new() -> Self {
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Self {
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state: DenoiseState::new(),
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buffer: Vec::with_capacity(config::NNNOISELESS_FRAME_SIZE * 2),
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}
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}
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pub fn detect(&mut self, input: &[i16]) -> (bool, f32) {
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for &sample in input {
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self.buffer.push(sample as f32);
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}
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let mut total_vad = 0.0f32;
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let mut frame_count = 0u32;
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while self.buffer.len() >= config::NNNOISELESS_FRAME_SIZE {
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let mut input_frame = [0.0f32; 480];
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let mut output_frame = [0.0f32; 480];
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input_frame.copy_from_slice(&self.buffer[..config::NNNOISELESS_FRAME_SIZE]);
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self.buffer.drain(..config::NNNOISELESS_FRAME_SIZE);
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let vad_prob = self.state.process_frame(&mut output_frame, &input_frame);
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total_vad += vad_prob;
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frame_count += 1;
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}
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if frame_count == 0 {
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return (true, 0.5);
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}
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let avg_vad = total_vad / frame_count as f32;
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let is_voice = avg_vad >= config::VAD_NNNOISELESS_THRESHOLD;
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(is_voice, avg_vad)
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}
|
||||
|
||||
pub fn reset(&mut self) {
|
||||
self.state = DenoiseState::new();
|
||||
self.buffer.clear();
|
||||
}
|
||||
}
|
||||
4
crates/jarvis-core/src/audio_processing/vad/none.rs
Normal file
4
crates/jarvis-core/src/audio_processing/vad/none.rs
Normal file
|
|
@ -0,0 +1,4 @@
|
|||
// Always returns voice detected (no vad)
|
||||
pub fn detect(_input: &[i16]) -> (bool, f32) {
|
||||
(true, 1.0)
|
||||
}
|
||||
|
|
@ -18,6 +18,8 @@ use rustpotter::{
|
|||
};
|
||||
|
||||
use crate::IntentRecognitionEngine;
|
||||
use crate::config::structs::NoiseSuppressionBackend;
|
||||
use crate::config::structs::VadBackend;
|
||||
use crate::{APP_CONFIG_DIR, APP_DIRS, APP_LOG_DIR};
|
||||
|
||||
#[allow(dead_code)]
|
||||
|
|
@ -106,7 +108,11 @@ pub const RUSTPOTTER_DEFAULT_CONFIG: Lazy<RustpotterConfig> = Lazy::new(|| {
|
|||
},
|
||||
filters: FiltersConfig {
|
||||
gain_normalizer: GainNormalizationConfig {
|
||||
enabled: true,
|
||||
// enabled: true,
|
||||
// gain_ref: None,
|
||||
// min_gain: 0.7,
|
||||
// max_gain: 1.0,
|
||||
enabled: false, // disable, now we have separate gain normalizer implementation
|
||||
gain_ref: None,
|
||||
min_gain: 0.7,
|
||||
max_gain: 1.0,
|
||||
|
|
@ -146,6 +152,26 @@ pub const VOSK_SPEECH_PARTIAL_WORDS: bool = false;
|
|||
// IRE (intents recognition)
|
||||
pub const INTENT_CLASSIFIER_MIN_CONFIDENCE: f64 = 0.75;
|
||||
|
||||
|
||||
// AUDIO PROCESSING DEFAULTS
|
||||
pub const DEFAULT_NOISE_SUPPRESSION: NoiseSuppressionBackend = NoiseSuppressionBackend::None;
|
||||
pub const DEFAULT_VAD: VadBackend = VadBackend::Energy;
|
||||
pub const DEFAULT_GAIN_NORMALIZER: bool = false;
|
||||
|
||||
// VAD settings
|
||||
pub const VAD_ENERGY_THRESHOLD: f32 = 500.0; // RMS threshold for energy-based VAD
|
||||
pub const VAD_NNNOISELESS_THRESHOLD: f32 = 0.5; // probability threshold for nnnoiseless
|
||||
pub const VAD_SILENCE_FRAMES: u32 = 15; // frames of silence before speech end (~480ms)
|
||||
|
||||
// gain normalizer settings
|
||||
pub const GAIN_TARGET_RMS: f32 = 3000.0; // target RMS level
|
||||
pub const GAIN_MIN: f32 = 0.5; // minimum gain multiplier
|
||||
pub const GAIN_MAX: f32 = 3.0; // maximum gain multiplier
|
||||
|
||||
// nnnoiseless frame size (fixed by library)
|
||||
pub const NNNOISELESS_FRAME_SIZE: usize = 480;
|
||||
|
||||
|
||||
// ETC
|
||||
pub const CMD_RATIO_THRESHOLD: f64 = 65f64;
|
||||
pub const CMS_WAIT_DELAY: std::time::Duration = std::time::Duration::from_secs(15);
|
||||
|
|
|
|||
|
|
@ -1,23 +1,30 @@
|
|||
use std::fmt;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
#[derive(Clone, Copy, Serialize, Deserialize, Debug)]
|
||||
#[derive(Clone, Copy, Serialize, Deserialize, Debug, PartialEq)]
|
||||
pub enum WakeWordEngine {
|
||||
Rustpotter,
|
||||
Vosk,
|
||||
Porcupine,
|
||||
}
|
||||
|
||||
#[derive(Clone, Copy, Serialize, Deserialize, Debug)]
|
||||
#[derive(Clone, Copy, Serialize, Deserialize, Debug, PartialEq)]
|
||||
pub enum IntentRecognitionEngine {
|
||||
IntentClassifier,
|
||||
Rasa,
|
||||
}
|
||||
|
||||
impl fmt::Display for WakeWordEngine {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{:?}", self)
|
||||
}
|
||||
#[derive(Clone, Copy, Serialize, Deserialize, Debug, PartialEq)]
|
||||
pub enum NoiseSuppressionBackend {
|
||||
None,
|
||||
Nnnoiseless,
|
||||
}
|
||||
|
||||
#[derive(Clone, Copy, Serialize, Deserialize, Debug, PartialEq)]
|
||||
pub enum VadBackend {
|
||||
None,
|
||||
Energy,
|
||||
Nnnoiseless,
|
||||
}
|
||||
|
||||
#[derive(Serialize, Deserialize, Debug, Clone)]
|
||||
|
|
@ -25,12 +32,6 @@ pub enum SpeechToTextEngine {
|
|||
Vosk,
|
||||
}
|
||||
|
||||
impl fmt::Display for SpeechToTextEngine {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{:?}", self)
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Debug)]
|
||||
pub enum RecorderType {
|
||||
Cpal,
|
||||
|
|
@ -44,6 +45,38 @@ pub enum AudioType {
|
|||
Kira,
|
||||
}
|
||||
|
||||
|
||||
|
||||
impl fmt::Display for WakeWordEngine {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{:?}", self)
|
||||
}
|
||||
}
|
||||
|
||||
impl fmt::Display for SpeechToTextEngine {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{:?}", self)
|
||||
}
|
||||
}
|
||||
|
||||
impl fmt::Display for IntentRecognitionEngine {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{:?}", self)
|
||||
}
|
||||
}
|
||||
|
||||
impl fmt::Display for NoiseSuppressionBackend {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{:?}", self)
|
||||
}
|
||||
}
|
||||
|
||||
impl fmt::Display for VadBackend {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{:?}", self)
|
||||
}
|
||||
}
|
||||
|
||||
// pub enum TextToSpeechEngine {}
|
||||
|
||||
// pub enum IntentRecognitionEngine {}
|
||||
|
|
|
|||
|
|
@ -4,6 +4,8 @@ use serde::{Deserialize, Serialize};
|
|||
use crate::config::structs::SpeechToTextEngine;
|
||||
use crate::config::structs::WakeWordEngine;
|
||||
use crate::config::structs::IntentRecognitionEngine;
|
||||
use crate::config::structs::NoiseSuppressionBackend;
|
||||
use crate::config::structs::VadBackend;
|
||||
|
||||
#[derive(Serialize, Deserialize, Debug, Clone)]
|
||||
pub struct Settings {
|
||||
|
|
@ -13,9 +15,13 @@ pub struct Settings {
|
|||
pub wake_word_engine: WakeWordEngine,
|
||||
pub intent_recognition_engine: IntentRecognitionEngine,
|
||||
pub speech_to_text_engine: SpeechToTextEngine,
|
||||
|
||||
pub vosk_model: String,
|
||||
|
||||
// audio processing
|
||||
pub noise_suppression: NoiseSuppressionBackend,
|
||||
pub vad: VadBackend,
|
||||
pub gain_normalizer: bool,
|
||||
|
||||
pub api_keys: ApiKeys,
|
||||
}
|
||||
|
||||
|
|
@ -28,9 +34,13 @@ impl Default for Settings {
|
|||
wake_word_engine: config::DEFAULT_WAKE_WORD_ENGINE,
|
||||
intent_recognition_engine: config::DEFAULT_INTENT_RECOGNITION_ENGINE,
|
||||
speech_to_text_engine: config::DEFAULT_SPEECH_TO_TEXT_ENGINE,
|
||||
|
||||
vosk_model: String::from(""), // auto detect first available
|
||||
|
||||
// audio processing defaults
|
||||
noise_suppression: config::DEFAULT_NOISE_SUPPRESSION,
|
||||
vad: config::DEFAULT_VAD,
|
||||
gain_normalizer: config::DEFAULT_GAIN_NORMALIZER,
|
||||
|
||||
api_keys: ApiKeys {
|
||||
picovoice: String::from(""),
|
||||
openai: String::from(""),
|
||||
|
|
|
|||
|
|
@ -25,6 +25,9 @@ pub mod intent;
|
|||
|
||||
pub mod vosk_models;
|
||||
|
||||
#[cfg(feature = "jarvis_app")]
|
||||
pub mod audio_processing;
|
||||
|
||||
// shared statics
|
||||
// pub static APP_DIR: Lazy<PathBuf> = Lazy::new(|| std::env::current_dir().unwrap());
|
||||
pub static APP_DIR: Lazy<PathBuf> = Lazy::new(|| {
|
||||
|
|
|
|||
|
|
@ -114,6 +114,10 @@ pub fn list_audio_devices() -> Vec<String> {
|
|||
}
|
||||
|
||||
pub fn get_audio_device_name(idx: i32) -> String {
|
||||
if idx == -1 {
|
||||
return String::from("System Default");
|
||||
}
|
||||
|
||||
let audio_devices = list_audio_devices();
|
||||
let mut first_device: String = String::new();
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue