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nih-plug/plugins/diopser/src/lib.rs

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// Diopser: a phase rotation plugin
// Copyright (C) 2021-2022 Robbert van der Helm
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program. If not, see <https://www.gnu.org/licenses/>.
#![cfg_attr(feature = "simd", feature(portable_simd))]
#[cfg(not(feature = "simd"))]
compile_error!("Compiling without SIMD support is currently not supported");
use nih_plug::prelude::*;
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use nih_plug_vizia::ViziaState;
use std::simd::f32x2;
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use std::sync::atomic::{AtomicBool, Ordering};
use std::sync::Arc;
use crate::spectrum::{SpectrumInput, SpectrumOutput};
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mod editor;
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mod filter;
mod spectrum;
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/// How many all-pass filters we can have in series at most. The filter stages parameter determines
/// how many filters are actually active.
const MAX_NUM_FILTERS: usize = 512;
/// The minimum step size for smoothing the filter parameters.
const MIN_AUTOMATION_STEP_SIZE: u32 = 1;
/// The maximum step size for smoothing the filter parameters. Updating these parameters can be
/// expensive, so updating them in larger steps can be useful.
const MAX_AUTOMATION_STEP_SIZE: u32 = 512;
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// All features from the original Diopser have been implemented (and the spread control has been
// improved). Other features I want to implement are:
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// - Briefly muting the output when changing the number of filters to get rid of the clicks
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// - A proper GUI
struct Diopser {
params: Arc<DiopserParams>,
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editor_state: Arc<ViziaState>,
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/// Needed for computing the filter coefficients.
sample_rate: f32,
/// All of the all-pass filters, with vectorized coefficients so they can be calculated for
/// multiple channels at once. [`DiopserParams::num_stages`] controls how many filters are
/// actually active.
filters: [filter::Biquad<f32x2>; MAX_NUM_FILTERS],
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/// If this is set at the start of the processing cycle, then the filter coefficients should be
/// updated. For the regular filter parameters we can look at the smoothers, but this is needed
/// when changing the number of active filters.
should_update_filters: Arc<AtomicBool>,
/// If this is 1 and any of the filter parameters are still smoothing, thenn the filter
/// coefficients should be recalculated on the next sample. After that, this gets reset to
/// `unnormalize_automation_precision(self.params.automation_precision.value)`. This is to
/// reduce the DSP load of automation parameters. It can also cause some fun sounding glitchy
/// effects when the precision is low.
next_filter_smoothing_in: i32,
/// When the GUI is open we compute the spectrum on the audio thread and send it to the GUI.
spectrum_input: SpectrumInput,
/// This can be cloned and moved into the editor.
spectrum_output: Arc<SpectrumOutput>,
}
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// TODO: Some combinations of parameters can cause really loud resonance. We should limit the
// resonance and filter stages parameter ranges in the GUI until the user unlocks.
#[derive(Params)]
struct DiopserParams {
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/// The number of all-pass filters applied in series.
#[id = "stages"]
filter_stages: IntParam,
/// The filter's center frequqency. When this is applied, the filters are spread around this
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/// frequency.
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/// FIXME: Entering -3 or another invalid value will set the parameter to NaN
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#[id = "cutoff"]
filter_frequency: FloatParam,
/// The Q parameter for the filters.
#[id = "res"]
filter_resonance: FloatParam,
/// Controls a frequency spread between the filter stages in octaves. When this value is 0, the
/// same coefficients are used for every filter. Otherwise, the earliest stage's frequency will
/// be offset by `-filter_spread_octave_amount`, while the latest stage will be offset by
/// `filter_spread_octave_amount`. If the filter spread style is set to linear then the negative
/// range will cover the same frequency range as the positive range.
#[id = "spread"]
filter_spread_octaves: FloatParam,
/// How the spread range should be distributed. The octaves mode will sound more musical while
/// the linear mode can be useful for sound design purposes.
#[id = "spstyl"]
filter_spread_style: EnumParam<SpreadStyle>,
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/// The precision of the automation, determines the step size. This is presented to the userq as
/// a percentage, and it's stored here as `[0, 1]` float because smaller step sizes are more
/// precise so having this be an integer would result in odd situations.
#[id = "autopr"]
automation_precision: FloatParam,
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/// Very important.
#[id = "ignore"]
very_important: BoolParam,
}
impl Default for Diopser {
fn default() -> Self {
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let should_update_filters = Arc::new(AtomicBool::new(false));
// We only do stereo right now so this is simple
let (spectrum_input, spectrum_output) =
SpectrumInput::new(Self::DEFAULT_NUM_OUTPUTS as usize);
Self {
params: Arc::new(DiopserParams::new(should_update_filters.clone())),
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editor_state: editor::default_state(),
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sample_rate: 1.0,
filters: [filter::Biquad::default(); MAX_NUM_FILTERS],
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should_update_filters,
next_filter_smoothing_in: 1,
spectrum_input,
spectrum_output: Arc::new(spectrum_output),
}
}
}
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impl DiopserParams {
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fn new(should_update_filters: Arc<AtomicBool>) -> Self {
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Self {
filter_stages: IntParam::new(
"Filter Stages",
0,
IntRange::Linear {
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min: 0,
max: MAX_NUM_FILTERS as i32,
},
)
.with_callback({
let should_update_filters = should_update_filters.clone();
Arc::new(move |_| should_update_filters.store(true, Ordering::Release))
}),
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// Smoothed parameters don't need the callback as we can just look at whether the
// smoother is still smoothing
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filter_frequency: FloatParam::new(
"Filter Frequency",
200.0,
FloatRange::Skewed {
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min: 5.0, // This must never reach 0
max: 20_000.0,
factor: FloatRange::skew_factor(-2.5),
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},
)
// This needs quite a bit of smoothing to avoid artifacts
.with_smoother(SmoothingStyle::Logarithmic(100.0))
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// This includes the unit
.with_value_to_string(formatters::v2s_f32_hz_then_khz(0))
.with_string_to_value(formatters::s2v_f32_hz_then_khz()),
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filter_resonance: FloatParam::new(
"Filter Resonance",
// The actual default neutral Q-value would be `sqrt(2) / 2`, but this value
// produces slightly less ringing.
0.5,
FloatRange::Skewed {
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min: 0.01, // This must also never reach 0
max: 30.0,
factor: FloatRange::skew_factor(-2.5),
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},
)
.with_smoother(SmoothingStyle::Logarithmic(100.0))
.with_value_to_string(formatters::v2s_f32_rounded(2)),
filter_spread_octaves: FloatParam::new(
"Filter Spread Octaves",
0.0,
FloatRange::SymmetricalSkewed {
min: -5.0,
max: 5.0,
factor: FloatRange::skew_factor(-1.0),
center: 0.0,
},
)
.with_step_size(0.01)
.with_smoother(SmoothingStyle::Linear(100.0)),
filter_spread_style: EnumParam::new("Filter Spread Style", SpreadStyle::Octaves)
.with_callback(Arc::new(move |_| {
should_update_filters.store(true, Ordering::Release)
})),
very_important: BoolParam::new("Don't touch this", true)
.with_value_to_string(Arc::new(|value| {
String::from(if value { "please don't" } else { "stop it" })
}))
.hide_in_generic_ui(),
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automation_precision: FloatParam::new(
"Automation precision",
normalize_automation_precision(128),
FloatRange::Linear { min: 0.0, max: 1.0 },
)
.with_unit("%")
.with_value_to_string(formatters::v2s_f32_percentage(0))
.with_string_to_value(formatters::s2v_f32_percentage()),
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}
}
}
#[derive(Enum, Debug, PartialEq)]
enum SpreadStyle {
Octaves,
Linear,
}
impl Plugin for Diopser {
const NAME: &'static str = "Diopser";
const VENDOR: &'static str = "Robbert van der Helm";
const URL: &'static str = "https://github.com/robbert-vdh/nih-plug";
const EMAIL: &'static str = "mail@robbertvanderhelm.nl";
const VERSION: &'static str = "0.2.0";
const DEFAULT_NUM_INPUTS: u32 = 2;
const DEFAULT_NUM_OUTPUTS: u32 = 2;
const SAMPLE_ACCURATE_AUTOMATION: bool = true;
fn params(&self) -> Arc<dyn Params> {
// The explicit cast is not needed, but Rust Analyzer gets very upset when you don't do it
self.params.clone() as Arc<dyn Params>
}
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fn editor(&self) -> Option<Box<dyn Editor>> {
editor::create(self.params.clone(), self.editor_state.clone())
}
fn accepts_bus_config(&self, config: &BusConfig) -> bool {
// The SIMD version only supports stereo
config.num_input_channels == config.num_output_channels && config.num_input_channels == 2
}
fn initialize(
&mut self,
_bus_config: &BusConfig,
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buffer_config: &BufferConfig,
_context: &mut impl ProcessContext,
) -> bool {
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self.sample_rate = buffer_config.sample_rate;
true
}
fn reset(&mut self) {
// Initialize and/or reset the filters on the next process call
self.should_update_filters.store(true, Ordering::Release);
}
fn process(
&mut self,
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buffer: &mut Buffer,
_context: &mut impl ProcessContext,
) -> ProcessStatus {
// Since this is an expensive operation, only update the filters when it's actually
// necessary, and allow smoothing only every n samples using the automation precision
// parameter
let smoothing_interval =
unnormalize_automation_precision(self.params.automation_precision.value);
for mut channel_samples in buffer.iter_samples() {
self.maybe_update_filters(smoothing_interval);
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// We can compute the filters for both channels at once. The SIMD version thus now only
// supports steroo audio.
let mut samples = unsafe { channel_samples.to_simd_unchecked() };
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for filter in self
.filters
.iter_mut()
.take(self.params.filter_stages.value as usize)
{
samples = filter.process(samples);
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}
unsafe { channel_samples.from_simd_unchecked(samples) };
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}
// Compute a spectrum for the GUI if needed
if self.editor_state.is_open() {
self.spectrum_input.compute(buffer);
}
ProcessStatus::Normal
}
}
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impl Diopser {
/// Check if the filters need to be updated beased on
/// [`should_update_filters`][Self::should_update_filters] and the smoothing interval, and
/// update them as needed.
fn maybe_update_filters(&mut self, smoothing_interval: u32) {
// In addition to updating the filters, we should also clear the filter's state when
// changing a setting we can't neatly interpolate between.
let reset_filters = self
.should_update_filters
.compare_exchange(true, false, Ordering::Acquire, Ordering::Relaxed)
.is_ok();
let should_update_filters = reset_filters
|| ((self.params.filter_frequency.smoothed.is_smoothing()
|| self.params.filter_resonance.smoothed.is_smoothing()
|| self.params.filter_spread_octaves.smoothed.is_smoothing())
&& self.next_filter_smoothing_in <= 1);
if should_update_filters {
self.update_filters(smoothing_interval, reset_filters);
self.next_filter_smoothing_in = smoothing_interval as i32;
} else {
self.next_filter_smoothing_in -= 1;
}
}
/// Recompute the filter coefficients based on the smoothed paraetersm. We can skip forwardq in
/// larger steps to reduce the DSP load.
fn update_filters(&mut self, smoothing_interval: u32, reset_filters: bool) {
if self.filters.is_empty() {
return;
}
let frequency = self
.params
.filter_frequency
.smoothed
.next_step(smoothing_interval);
let resonance = self
.params
.filter_resonance
.smoothed
.next_step(smoothing_interval);
let spread_octaves = self
.params
.filter_spread_octaves
.smoothed
.next_step(smoothing_interval);
let spread_style = self.params.filter_spread_style.value();
// Used to calculate the linear spread. This is calculated in such a way that the range
// never dips below 0.
let max_octave_spread = if spread_octaves >= 0.0 {
frequency - (frequency * 2.0f32.powf(-spread_octaves))
} else {
(frequency * 2.0f32.powf(spread_octaves)) - frequency
};
// TODO: This wrecks the DSP load at high smoothing accuracy, perhaps also use SIMD here
const MIN_FREQUENCY: f32 = 5.0;
let max_frequency = self.sample_rate / 2.05;
for filter_idx in 0..self.params.filter_stages.value as usize {
// The index of the filter normalized to range [-1, 1]
let filter_proportion =
(filter_idx as f32 / self.params.filter_stages.value as f32) * 2.0 - 1.0;
// The spread parameter adds an offset to the frequency depending on the number of the
// filter
let filter_frequency = match spread_style {
SpreadStyle::Octaves => frequency * 2.0f32.powf(spread_octaves * filter_proportion),
SpreadStyle::Linear => frequency + (max_octave_spread * filter_proportion),
}
.clamp(MIN_FREQUENCY, max_frequency);
self.filters[filter_idx].coefficients =
filter::BiquadCoefficients::allpass(self.sample_rate, filter_frequency, resonance);
if reset_filters {
self.filters[filter_idx].reset();
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}
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}
}
}
fn normalize_automation_precision(step_size: u32) -> f32 {
(MAX_AUTOMATION_STEP_SIZE - step_size) as f32
/ (MAX_AUTOMATION_STEP_SIZE - MIN_AUTOMATION_STEP_SIZE) as f32
}
fn unnormalize_automation_precision(normalized: f32) -> u32 {
MAX_AUTOMATION_STEP_SIZE
- (normalized * (MAX_AUTOMATION_STEP_SIZE - MIN_AUTOMATION_STEP_SIZE) as f32).round() as u32
}
impl ClapPlugin for Diopser {
const CLAP_ID: &'static str = "nl.robbertvanderhelm.diopser";
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const CLAP_DESCRIPTION: &'static str = "A totally original phase rotation plugin";
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const CLAP_FEATURES: &'static [&'static str] = &["audio_effect", "stereo", "filter", "utility"];
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const CLAP_MANUAL_URL: &'static str = Self::URL;
const CLAP_SUPPORT_URL: &'static str = Self::URL;
}
impl Vst3Plugin for Diopser {
const VST3_CLASS_ID: [u8; 16] = *b"DiopserPlugRvdH.";
const VST3_CATEGORIES: &'static str = "Fx|Filter";
}
nih_export_clap!(Diopser);
nih_export_vst3!(Diopser);