github-mirrors/librespot
1
0
Fork 0
mirror of https://github.com/librespot-org/librespot.git synced 2024-11-08 16:45:43 +00:00
Code Issues Projects Releases Packages Wiki Activity

Save some more CPU cycles in the limiter (#939)

Browse source 
Optimise limiter CPU usage
This commit is contained in:
Jason Gray 2022-01-17 15:57:30 -06:00 committed by GitHub
parent 72af0d2014
commit c6e97a7f8a
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
3 changed files with 62 additions and 56 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
playback/src/config.rs
View file

@ -130,7 +130,7 @@ pub struct PlayerConfig {
pub normalisation: bool,
pub normalisation_type: NormalisationType,
pub normalisation_method: NormalisationMethod,
pub normalisation_pregain_db: f32,
pub normalisation_pregain_db: f64,
pub normalisation_threshold_dbfs: f64,
pub normalisation_attack_cf: f64,
pub normalisation_release_cf: f64,

112
playback/src/player.rs
View file

@ -214,10 +214,10 @@ pub fn coefficient_to_duration(coefficient: f64) -> Duration {
#[derive(Clone, Copy, Debug)]
pub struct NormalisationData {
track_gain_db: f32,
track_peak: f32,
album_gain_db: f32,
album_peak: f32,
track_gain_db: f64,
track_peak: f64,
album_gain_db: f64,
album_peak: f64,
}
impl NormalisationData {
@ -225,10 +225,10 @@ impl NormalisationData {
const SPOTIFY_NORMALIZATION_HEADER_START_OFFSET: u64 = 144;
file.seek(SeekFrom::Start(SPOTIFY_NORMALIZATION_HEADER_START_OFFSET))?;
let track_gain_db = file.read_f32::<LittleEndian>()?;
let track_peak = file.read_f32::<LittleEndian>()?;
let album_gain_db = file.read_f32::<LittleEndian>()?;
let album_peak = file.read_f32::<LittleEndian>()?;
let track_gain_db = file.read_f32::<LittleEndian>()? as f64;
let track_peak = file.read_f32::<LittleEndian>()? as f64;
let album_gain_db = file.read_f32::<LittleEndian>()? as f64;
let album_peak = file.read_f32::<LittleEndian>()? as f64;
let r = NormalisationData {
track_gain_db,
@ -246,17 +246,17 @@ impl NormalisationData {
}
let (gain_db, gain_peak) = if config.normalisation_type == NormalisationType::Album {
(data.album_gain_db as f64, data.album_peak as f64)
(data.album_gain_db, data.album_peak)
} else {
(data.track_gain_db as f64, data.track_peak as f64)
(data.track_gain_db, data.track_peak)
};
let normalisation_power = gain_db + config.normalisation_pregain_db as f64;
let normalisation_power = gain_db + config.normalisation_pregain_db;
let mut normalisation_factor = db_to_ratio(normalisation_power);
if normalisation_power + ratio_to_db(gain_peak) > config.normalisation_threshold_dbfs {
let limited_normalisation_factor =
db_to_ratio(config.normalisation_threshold_dbfs as f64) / gain_peak;
db_to_ratio(config.normalisation_threshold_dbfs) / gain_peak;
let limited_normalisation_power = ratio_to_db(limited_normalisation_factor);
if config.normalisation_method == NormalisationMethod::Basic {
@ -279,7 +279,7 @@ impl NormalisationData {
normalisation_factor * 100.0
);
normalisation_factor as f64
normalisation_factor
}
}
@ -1305,54 +1305,60 @@ impl PlayerInternal {
// Engineering Society, 60, 399-408.
if self.config.normalisation_method == NormalisationMethod::Dynamic
{
// steps 1 + 2: half-wave rectification and conversion into dB
let abs_sample_db = ratio_to_db(sample.abs());
// Some tracks have samples that are precisely 0.0. That's silence
// and we know we don't need to limit that, in which we can spare
// the CPU cycles.
//
// Also, calling `ratio_to_db(0.0)` returns `inf` and would get the
// peak detector stuck. Also catch the unlikely case where a sample
// is decoded as `NaN` or some other non-normal value.
let limiter_db = if sample.is_normal() {
// step 1-2: half-wave rectification and conversion into dB
let abs_sample_db = ratio_to_db(sample.abs());
// Some tracks have samples that are precisely 0.0, but ratio_to_db(0.0)
// returns -inf and gets the peak detector stuck.
if !abs_sample_db.is_normal() {
continue;
}
// step 3-4: gain computer with soft knee and subtractor
let bias_db = abs_sample_db - threshold_db;
let knee_boundary_db = bias_db * 2.0;
// step 3: gain computer with soft knee
let biased_sample = abs_sample_db - threshold_db;
let limited_sample = if 2.0 * biased_sample < -knee_db {
abs_sample_db
} else if 2.0 * biased_sample.abs() <= knee_db {
abs_sample_db
- (biased_sample + knee_db / 2.0).powi(2)
/ (2.0 * knee_db)
if knee_boundary_db < -knee_db {
0.0
} else if knee_boundary_db.abs() <= knee_db {
abs_sample_db
- (abs_sample_db
- (bias_db + knee_db / 2.0).powi(2)
/ (2.0 * knee_db))
} else {
abs_sample_db - threshold_db
}
} else {
threshold_db as f64
0.0
};
// step 4: subtractor
let limiter_input = abs_sample_db - limited_sample;
// Spare the CPU unless the limiter is active or we are riding a peak.
if !(limiter_input > 0.0
// Spare the CPU unless (1) the limiter is engaged, (2) we
// were in attack or (3) we were in release, and that attack/
// release wasn't finished yet.
if limiter_db > 0.0
|| self.normalisation_integrator > 0.0
|| self.normalisation_peak > 0.0)
|| self.normalisation_peak > 0.0
{
continue;
// step 5: smooth, decoupled peak detector
self.normalisation_integrator = f64::max(
limiter_db,
release_cf * self.normalisation_integrator
+ (1.0 - release_cf) * limiter_db,
);
self.normalisation_peak = attack_cf
* self.normalisation_peak
+ (1.0 - attack_cf) * self.normalisation_integrator;
// step 6: make-up gain applied later (volume attenuation)
// Applying the standard normalisation factor here won't work,
// because there are tracks with peaks as high as 6 dB above
// the default threshold, so that would clip.
// steps 7-8: conversion into level and multiplication into gain stage
*sample *= db_to_ratio(-self.normalisation_peak);
}
// step 5: smooth, decoupled peak detector
self.normalisation_integrator = f64::max(
limiter_input,
release_cf * self.normalisation_integrator
+ (1.0 - release_cf) * limiter_input,
);
self.normalisation_peak = attack_cf * self.normalisation_peak
+ (1.0 - attack_cf) * self.normalisation_integrator;
// step 6: make-up gain applied later (volume attenuation)
// Applying the standard normalisation factor here won't work,
// because there are tracks with peaks as high as 6 dB above
// the default threshold, so that would clip.
// steps 7-8: conversion into level and multiplication into gain stage
*sample *= db_to_ratio(-self.normalisation_peak);
}
}
}

4
src/main.rs
View file

@ -187,7 +187,7 @@ fn get_setup() -> Setup {
const VALID_INITIAL_VOLUME_RANGE: RangeInclusive<u16> = 0..=100;
const VALID_VOLUME_RANGE: RangeInclusive<f64> = 0.0..=100.0;
const VALID_NORMALISATION_KNEE_RANGE: RangeInclusive<f64> = 0.0..=10.0;
const VALID_NORMALISATION_PREGAIN_RANGE: RangeInclusive<f32> = -10.0..=10.0;
const VALID_NORMALISATION_PREGAIN_RANGE: RangeInclusive<f64> = -10.0..=10.0;
const VALID_NORMALISATION_THRESHOLD_RANGE: RangeInclusive<f64> = -10.0..=0.0;
const VALID_NORMALISATION_ATTACK_RANGE: RangeInclusive<u64> = 1..=500;
const VALID_NORMALISATION_RELEASE_RANGE: RangeInclusive<u64> = 1..=1000;
@ -1339,7 +1339,7 @@ fn get_setup() -> Setup {
.unwrap_or(player_default_config.normalisation_type);
normalisation_pregain_db = opt_str(NORMALISATION_PREGAIN)
.map(|pregain| match pregain.parse::<f32>() {
.map(|pregain| match pregain.parse::<f64>() {
Ok(value) if (VALID_NORMALISATION_PREGAIN_RANGE).contains(&value) => value,
_ => {
let valid_values = &format!(