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# loudness-range
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## Purpose
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`loudness-range` computes the EBU Tech 3342 loudness range (LRA, in LU) — a
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statistical measure of dynamic spread. It takes short-term loudness samples
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(K-weighted, channel-summed loudness over 3 s windows stepped by 1 s) and
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returns the 95th-minus-10th percentile spread of the gated distribution.
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LRA complements integrated loudness: two programmes can share an integrated
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LUFS but have wildly different listener experience if one is uniformly
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compressed and the other has dynamic swings. Broadcasters use LRA thresholds
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(e.g. EBU R128 recommends ≤ 7 LU for spoken-word programming) to flag
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material that needs dynamics processing before transmission.
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## Features
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- Two-gate algorithm: absolute gate at −70 LUFS, relative gate 20 LU below
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the gated mean (wider than the BS.1770-4 integrated-loudness 10 LU gate).
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- Linear-interpolated percentiles per Tech 3342.
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- Returns `lra`, `low`, `high`, and `gatedCount` for downstream UIs.
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- Sub-window documents safely report `lra: 0` instead of throwing.
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## Usage: Basic
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```ts
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import { loudnessRange } from "@suaveplan/audio-analysis-loudness/algorithms/loudness-range";
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const { lra } = loudnessRange(shortTermLufsValues);
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```
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## Usage: Advanced
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```ts
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import {
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loudnessRange,
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percentile,
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} from "@suaveplan/audio-analysis-loudness/algorithms/loudness-range";
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const result = loudnessRange(shortTermLufsValues);
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console.log({
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lra: result.lra,
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p10: result.low,
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p95: result.high,
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surviving: result.gatedCount,
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});
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// Inspect arbitrary percentiles for diagnostic overlays.
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const sorted = [...shortTermLufsValues].sort((a, b) => a - b);
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const p50 = percentile(sorted, 0.5);
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```
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## API Reference
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- `LRA_RELATIVE_GATE_OFFSET_LU` — `-20`, the Tech 3342 relative-gate offset.
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- `loudnessRange(shortTermLufs: readonly number[]) => LoudnessRangeResult`.
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- `percentile(sortedAsc, q)` — linear-interpolated q ∈ [0,1].
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## Implementation Notes
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The mean used for the relative gate is computed in linear power and then
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converted back to LUFS via `energyToLufs`, not as an arithmetic mean of LUFS
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values — averaging in dB would over-weight quiet blocks. Edge cases (no
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input, no survivors after the absolute gate, no survivors after the relative
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gate) all map cleanly to `lra: 0` with the best-available `low`/`high` so
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downstream consumers never see NaN.
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