sva_samples/measure/
loudness.rs1use crate::biquad::{Coeffs, State};
4
5const SHELF_HZ: f64 = 1681.97;
8const SHELF_Q: f64 = 0.70718;
9const SHELF_GAIN_DB: f64 = 3.99984;
10const SHELF_MID: f64 = 0.499_666_774_154_541_6;
11const HIGHPASS_HZ: f64 = 38.1355;
12const HIGHPASS_Q: f64 = 0.50033;
13
14fn shelf(sr: f64) -> Coeffs {
15 let k = (std::f64::consts::PI * SHELF_HZ / sr).tan();
16 let high = 10f64.powf(SHELF_GAIN_DB / 20.0);
17 let mid = high.powf(SHELF_MID);
18 let a0 = 1.0 + k / SHELF_Q + k * k;
19 Coeffs {
20 b0: (high + mid * k / SHELF_Q + k * k) / a0,
21 b1: 2.0 * (k * k - high) / a0,
22 b2: (high - mid * k / SHELF_Q + k * k) / a0,
23 a1: 2.0 * (k * k - 1.0) / a0,
24 a2: (1.0 - k / SHELF_Q + k * k) / a0,
25 }
26}
27
28fn highpass(sr: f64) -> Coeffs {
29 let k = (std::f64::consts::PI * HIGHPASS_HZ / sr).tan();
30 let a0 = 1.0 + k / HIGHPASS_Q + k * k;
31 Coeffs {
32 b0: 1.0,
33 b1: -2.0,
34 b2: 1.0,
35 a1: 2.0 * (k * k - 1.0) / a0,
36 a2: (1.0 - k / HIGHPASS_Q + k * k) / a0,
37 }
38}
39
40const OFFSET_DB: f64 = -0.691;
41const ABSOLUTE_GATE: f64 = -70.0;
42const INTEGRATED_GATE_LU: f64 = -10.0;
43
44const RANGE_GATE_LU: f64 = -20.0;
45
46const MOMENTARY_SECS: f64 = 0.4;
47const SHORT_TERM_SECS: f64 = 3.0;
48
49const STEP_SECS: f64 = 0.1;
50
51const PEAK_NOTE: &str = "sample peak, not true peak: no oversampling exists here, so an inter-sample peak above \
52 this figure is not measured";
53
54#[derive(Clone, Copy, Debug, PartialEq)]
55pub struct LoudnessFrame {
56 pub t: f64,
58 pub lufs: f64,
59}
60
61#[derive(Clone, Debug, PartialEq)]
62pub struct Loudness {
63 pub integrated_lufs: Option<f64>,
64 pub range_lu: Option<f64>,
65 pub momentary_max_lufs: Option<f64>,
66 pub short_term_max_lufs: Option<f64>,
67 pub sample_peak: f64,
68 pub sample_peak_dbfs: Option<f64>,
69 pub peak_note: &'static str,
70 pub momentary: Vec<LoudnessFrame>,
71 pub short_term: Vec<LoudnessFrame>,
72}
73
74pub fn analyze(planes: &[&[f64]], sr: f64, start_secs: f64) -> Loudness {
77 let sample_peak = planes
78 .iter()
79 .flat_map(|p| p.iter())
80 .fold(0.0f64, |acc, v| acc.max(v.abs()));
81 let scale = headroom(sample_peak);
82 let squares: Vec<Vec<f64>> = planes
83 .iter()
84 .map(|p| running_squares(p, sr, scale))
85 .collect();
86 let samples = planes.first().map_or(0, |p| p.len());
87 let at = Blocks {
88 samples,
89 sr,
90 start_secs,
91 lift_db: 20.0 * scale.log10(),
92 };
93
94 let momentary = blocks(&squares, &at, MOMENTARY_SECS);
95 let short_term = blocks(&squares, &at, SHORT_TERM_SECS);
96
97 Loudness {
98 integrated_lufs: gated_mean(&momentary, INTEGRATED_GATE_LU),
99 range_lu: range(&short_term),
100 momentary_max_lufs: peak_of(&momentary),
101 short_term_max_lufs: peak_of(&short_term),
102 sample_peak,
103 sample_peak_dbfs: (sample_peak > 0.0).then(|| 20.0 * sample_peak.log10()),
104 peak_note: PEAK_NOTE,
105 momentary,
106 short_term,
107 }
108}
109
110fn headroom(peak: f64) -> f64 {
112 match peak > 1.0 {
113 true => 2f64.powi(peak.log2().ceil().min(f64::from(f64::MAX_EXP - 1)) as i32),
114 false => 1.0,
115 }
116}
117
118fn running_squares(plane: &[f64], sr: f64, scale: f64) -> Vec<f64> {
120 let shelf = shelf(sr);
121 let cut = highpass(sr);
122 let mut first = State::default();
123 let mut second = State::default();
124 let mut out = Vec::with_capacity(plane.len() + 1);
125 let mut total = 0.0;
126 out.push(0.0);
127 for x in plane {
128 let k = second.step(&cut, first.step(&shelf, *x / scale));
129 total += k * k;
130 out.push(total);
131 }
132 out
133}
134
135struct Blocks {
136 samples: usize,
137 sr: f64,
138 start_secs: f64,
139 lift_db: f64,
140}
141
142fn blocks(squares: &[Vec<f64>], at: &Blocks, block_secs: f64) -> Vec<LoudnessFrame> {
143 let n = (block_secs * at.sr).round() as usize;
144 let step = ((STEP_SECS * at.sr).round() as usize).max(1);
145 if n == 0 || at.samples < n {
146 return Vec::new();
147 }
148 (0..=(at.samples - n))
149 .step_by(step)
150 .map(|k| LoudnessFrame {
151 t: at.start_secs + k as f64 / at.sr,
152 lufs: level(squares, k, n) + at.lift_db,
153 })
154 .collect()
155}
156
157fn level(squares: &[Vec<f64>], at: usize, n: usize) -> f64 {
158 let power: f64 = squares.iter().map(|s| (s[at + n] - s[at]) / n as f64).sum();
159 if power <= 0.0 {
160 return f64::NEG_INFINITY;
161 }
162 OFFSET_DB + 10.0 * power.log10()
163}
164
165fn mean_above(frames: &[LoudnessFrame], threshold: f64) -> Option<f64> {
167 let kept: Vec<f64> = frames
168 .iter()
169 .map(|f| f.lufs)
170 .filter(|l| *l > threshold)
171 .collect();
172 if kept.is_empty() {
173 return None;
174 }
175 let from = kept.iter().copied().fold(OFFSET_DB, f64::max);
176 let power: f64 = kept.iter().map(|l| 10f64.powf((l - from) / 10.0)).sum();
177 Some(from + 10.0 * (power / kept.len() as f64).log10())
178}
179
180fn gated_mean(frames: &[LoudnessFrame], relative_lu: f64) -> Option<f64> {
182 mean_above(frames, mean_above(frames, ABSOLUTE_GATE)? + relative_lu)
183}
184
185fn range(short_term: &[LoudnessFrame]) -> Option<f64> {
187 let floor = mean_above(short_term, ABSOLUTE_GATE)? + RANGE_GATE_LU;
188 let mut kept: Vec<f64> = short_term
189 .iter()
190 .map(|f| f.lufs)
191 .filter(|l| *l > ABSOLUTE_GATE && *l > floor)
192 .collect();
193 if kept.is_empty() {
194 return None;
195 }
196 kept.sort_by(f64::total_cmp);
197 Some(percentile(&kept, 0.95) - percentile(&kept, 0.10))
198}
199
200fn percentile(sorted: &[f64], p: f64) -> f64 {
201 let at = ((sorted.len() as f64 - 1.0) * p).round() as usize;
202 sorted[at.min(sorted.len() - 1)]
203}
204
205fn peak_of(frames: &[LoudnessFrame]) -> Option<f64> {
206 frames
207 .iter()
208 .map(|f| f.lufs)
209 .filter(|l| l.is_finite())
210 .reduce(f64::max)
211}