noise suppression added via nnnoiseless + vad + gain-normalizer + few frontend changes

This commit is contained in:
Priler 2026-01-06 23:32:58 +05:00
parent a640e6caea
commit eb0d40bae6
73 changed files with 1235 additions and 112 deletions

View file

@ -0,0 +1,28 @@
mod simple;
use once_cell::sync::OnceCell;
use std::sync::Mutex;
static NORMALIZER: OnceCell<Mutex<simple::GainNormalizer>> = OnceCell::new();
pub fn init() {
if NORMALIZER.get().is_some() {
return;
}
NORMALIZER.set(Mutex::new(simple::GainNormalizer::new())).ok();
info!("Gain normalizer: enabled");
}
pub fn normalize(input: &[i16]) -> Vec<i16> {
match NORMALIZER.get() {
Some(n) => n.lock().unwrap().normalize(input),
None => input.to_vec(),
}
}
pub fn reset() {
if let Some(n) = NORMALIZER.get() {
n.lock().unwrap().reset();
}
}

View file

@ -0,0 +1,47 @@
use crate::config;
pub struct GainNormalizer {
current_gain: f32,
}
impl GainNormalizer {
pub fn new() -> Self {
Self { current_gain: 1.0 }
}
pub fn normalize(&mut self, input: &[i16]) -> Vec<i16> {
let rms = self.calculate_rms(input);
if rms < 1.0 {
return input.to_vec();
}
let target_gain = config::GAIN_TARGET_RMS / rms;
let clamped_gain = target_gain.clamp(config::GAIN_MIN, config::GAIN_MAX);
self.current_gain = self.current_gain * 0.9 + clamped_gain * 0.1;
input.iter()
.map(|&s| {
let amplified = (s as f32) * self.current_gain;
amplified.clamp(i16::MIN as f32, i16::MAX as f32) as i16
})
.collect()
}
pub fn reset(&mut self) {
self.current_gain = 1.0;
}
fn calculate_rms(&self, samples: &[i16]) -> f32 {
if samples.is_empty() {
return 0.0;
}
let sum: f64 = samples.iter()
.map(|&s| (s as f64).powi(2))
.sum();
(sum / samples.len() as f64).sqrt() as f32
}
}

View file

@ -0,0 +1,66 @@
mod none;
#[cfg(feature = "nnnoiseless")]
mod nnnoiseless;
use once_cell::sync::OnceCell;
use std::sync::Mutex;
use crate::config::structs::NoiseSuppressionBackend;
static BACKEND: OnceCell<NoiseSuppressionBackend> = OnceCell::new();
#[cfg(feature = "nnnoiseless")]
static NNNOISELESS_STATE: OnceCell<Mutex<nnnoiseless::NnnoiselessNS>> = OnceCell::new();
pub fn init(backend: NoiseSuppressionBackend) {
if BACKEND.get().is_some() {
return;
}
BACKEND.set(backend).ok();
match backend {
NoiseSuppressionBackend::None => {
info!("Noise suppression: disabled");
}
#[cfg(feature = "nnnoiseless")]
NoiseSuppressionBackend::Nnnoiseless => {
NNNOISELESS_STATE.set(Mutex::new(nnnoiseless::NnnoiselessNS::new())).ok();
info!("Noise suppression: Nnnoiseless");
}
#[cfg(not(feature = "nnnoiseless"))]
NoiseSuppressionBackend::Nnnoiseless => {
warn!("Nnnoiseless not compiled in, falling back to None");
BACKEND.set(NoiseSuppressionBackend::None).ok();
}
}
}
pub fn process(input: &[i16]) -> Vec<i16> {
match BACKEND.get() {
Some(NoiseSuppressionBackend::None) | None => none::process(input),
#[cfg(feature = "nnnoiseless")]
Some(NoiseSuppressionBackend::Nnnoiseless) => {
if let Some(state) = NNNOISELESS_STATE.get() {
state.lock().unwrap().process(input)
} else {
none::process(input)
}
}
#[cfg(not(feature = "nnnoiseless"))]
Some(NoiseSuppressionBackend::Nnnoiseless) => none::process(input),
}
}
pub fn reset() {
match BACKEND.get() {
#[cfg(feature = "nnnoiseless")]
Some(NoiseSuppressionBackend::Nnnoiseless) => {
if let Some(state) = NNNOISELESS_STATE.get() {
state.lock().unwrap().reset();
}
}
_ => {}
}
}

View file

@ -0,0 +1,51 @@
use nnnoiseless::DenoiseState;
use crate::config;
pub struct NnnoiselessNS {
state: Box<DenoiseState<'static>>,
buffer: Vec<f32>,
}
impl NnnoiselessNS {
pub fn new() -> Self {
Self {
state: DenoiseState::new(),
buffer: Vec::with_capacity(config::NNNOISELESS_FRAME_SIZE * 2),
}
}
pub fn process(&mut self, input: &[i16]) -> Vec<i16> {
for &sample in input {
self.buffer.push(sample as f32);
}
let mut output: Vec<i16> = Vec::with_capacity(input.len());
while self.buffer.len() >= config::NNNOISELESS_FRAME_SIZE {
let mut input_frame = [0.0f32; 480];
let mut output_frame = [0.0f32; 480];
input_frame.copy_from_slice(&self.buffer[..config::NNNOISELESS_FRAME_SIZE]);
self.buffer.drain(..config::NNNOISELESS_FRAME_SIZE);
// process: input -> output (denoised)
let _ = self.state.process_frame(&mut output_frame, &input_frame);
for &sample in &output_frame {
let clamped = sample.clamp(i16::MIN as f32, i16::MAX as f32);
output.push(clamped as i16);
}
}
if output.is_empty() {
return input.to_vec();
}
output
}
pub fn reset(&mut self) {
self.state = DenoiseState::new();
self.buffer.clear();
}
}

View file

@ -0,0 +1,4 @@
// return unprocessed input
pub fn process(input: &[i16]) -> Vec<i16> {
input.to_vec()
}

View file

@ -0,0 +1,72 @@
mod none;
mod energy;
#[cfg(feature = "nnnoiseless")]
mod nnnoiseless;
use once_cell::sync::OnceCell;
use std::sync::Mutex;
use crate::config::structs::VadBackend;
static BACKEND: OnceCell<VadBackend> = OnceCell::new();
#[cfg(feature = "nnnoiseless")]
static NNNOISELESS_STATE: OnceCell<Mutex<nnnoiseless::NnnoiselessVAD>> = OnceCell::new();
pub fn init(backend: VadBackend) {
if BACKEND.get().is_some() {
return;
}
BACKEND.set(backend).ok();
match backend {
VadBackend::None => {
info!("VAD: disabled");
}
VadBackend::Energy => {
info!("VAD: Energy-based");
}
#[cfg(feature = "nnnoiseless")]
VadBackend::Nnnoiseless => {
NNNOISELESS_STATE.set(Mutex::new(nnnoiseless::NnnoiselessVAD::new())).ok();
info!("VAD: Nnnoiseless");
}
#[cfg(not(feature = "nnnoiseless"))]
VadBackend::Nnnoiseless => {
warn!("Nnnoiseless not compiled in, falling back to Energy");
BACKEND.set(VadBackend::Energy).ok();
}
}
}
// Returns (is_voice, confidence)
pub fn detect(input: &[i16]) -> (bool, f32) {
match BACKEND.get() {
Some(VadBackend::None) | None => none::detect(input),
Some(VadBackend::Energy) => energy::detect(input),
#[cfg(feature = "nnnoiseless")]
Some(VadBackend::Nnnoiseless) => {
if let Some(state) = NNNOISELESS_STATE.get() {
state.lock().unwrap().detect(input)
} else {
energy::detect(input)
}
}
#[cfg(not(feature = "nnnoiseless"))]
Some(VadBackend::Nnnoiseless) => energy::detect(input),
}
}
pub fn reset() {
match BACKEND.get() {
#[cfg(feature = "nnnoiseless")]
Some(VadBackend::Nnnoiseless) => {
if let Some(state) = NNNOISELESS_STATE.get() {
state.lock().unwrap().reset();
}
}
_ => {}
}
}

View file

@ -0,0 +1,24 @@
use crate::config;
// Simple energy-based VAD
pub fn detect(input: &[i16]) -> (bool, f32) {
let rms = calculate_rms(input);
let is_voice = rms > config::VAD_ENERGY_THRESHOLD;
// normalize confidence to 0-1 range (rough approximation)
let confidence = (rms / (config::VAD_ENERGY_THRESHOLD * 2.0)).min(1.0);
(is_voice, confidence)
}
fn calculate_rms(samples: &[i16]) -> f32 {
if samples.is_empty() {
return 0.0;
}
let sum: f64 = samples.iter()
.map(|&s| (s as f64).powi(2))
.sum();
(sum / samples.len() as f64).sqrt() as f32
}

View file

@ -0,0 +1,51 @@
use nnnoiseless::DenoiseState;
use crate::config;
pub struct NnnoiselessVAD {
state: Box<DenoiseState<'static>>,
buffer: Vec<f32>,
}
impl NnnoiselessVAD {
pub fn new() -> Self {
Self {
state: DenoiseState::new(),
buffer: Vec::with_capacity(config::NNNOISELESS_FRAME_SIZE * 2),
}
}
pub fn detect(&mut self, input: &[i16]) -> (bool, f32) {
for &sample in input {
self.buffer.push(sample as f32);
}
let mut total_vad = 0.0f32;
let mut frame_count = 0u32;
while self.buffer.len() >= config::NNNOISELESS_FRAME_SIZE {
let mut input_frame = [0.0f32; 480];
let mut output_frame = [0.0f32; 480];
input_frame.copy_from_slice(&self.buffer[..config::NNNOISELESS_FRAME_SIZE]);
self.buffer.drain(..config::NNNOISELESS_FRAME_SIZE);
let vad_prob = self.state.process_frame(&mut output_frame, &input_frame);
total_vad += vad_prob;
frame_count += 1;
}
if frame_count == 0 {
return (true, 0.5);
}
let avg_vad = total_vad / frame_count as f32;
let is_voice = avg_vad >= config::VAD_NNNOISELESS_THRESHOLD;
(is_voice, avg_vad)
}
pub fn reset(&mut self) {
self.state = DenoiseState::new();
self.buffer.clear();
}
}

View file

@ -0,0 +1,4 @@
// Always returns voice detected (no vad)
pub fn detect(_input: &[i16]) -> (bool, f32) {
(true, 1.0)
}