fix: MP3 recordings carried a hiss the WAV of the same audio did not

The operator split it in one test: WAV is fine, MP3 is not. The MP3 path is the
only one that resamples — 16 kHz up to 32 kHz, because the encoder emits broken
frames at MPEG-2 rates — and it did so by averaging neighbouring samples.

That is an upsampler in name only. Every component at f is mirrored to
16 kHz − f, and the test measures the mirror just 7 dB below the wanted signal:
a second copy of the whole spectrum. On speech it adds brightness; on receiver
noise, which is broadband, it lays a second noise floor over the top of the
band. Hence "a hiss that is not the QRM, louder than the voice" — and hence its
absence from the WAV, which resamples nothing.

Zero-stuffing plus a 63-tap windowed sinc at the old Nyquist puts the image
56.8 dB down instead of 7, at a cost measured in microseconds against the MP3
encode that follows. Two tests pin it: the image suppression, and that the level
is unchanged — a fix that quietly halved every recording would be a second
surprise on top of the one being repaired.
This commit is contained in:
2026-07-31 21:27:57 +02:00
parent da1f3eb2bd
commit fddb3c45c4
3 changed files with 151 additions and 9 deletions
+70 -7
View File
@@ -3,6 +3,7 @@
package audio
import (
"math"
"os"
"github.com/braheezy/shine-mp3/pkg/mp3"
@@ -50,19 +51,81 @@ func writeMP3(path string, pcm []byte) error {
return enc.Write(f, stereo)
}
// upsample2 doubles the sample rate with linear interpolation (16 kHz → 32 kHz).
// upsample2 doubles the sample rate, 16 kHz → 32 kHz, WITH the interpolation
// filter that makes the operation legitimate.
//
// It used to interpolate linearly — each new sample the average of its
// neighbours. That is an upsampler in name only: every component at f is
// mirrored to 16 kHz f, measured just 7 dB down (see the test). On speech it
// adds brightness; on receiver noise, which is broadband, it lays a second
// noise floor across the top of the band. Operators heard it as a hiss louder
// than the voice, present in the MP3 and absent from the WAV of the very same
// audio.
//
// Zero-stuffing followed by a windowed-sinc low-pass at the old Nyquist is the
// textbook answer, and it puts the image below 40 dB. 63 taps is a few hundred
// microseconds of work on an eight-second recording — nothing, next to the MP3
// encode that follows.
func upsample2(in []int16) []int16 {
if len(in) == 0 {
return in
}
out := make([]int16, len(in)*2)
for i := range in {
out[2*i] = in[i]
if i+1 < len(in) {
out[2*i+1] = int16((int32(in[i]) + int32(in[i+1])) / 2)
} else {
out[2*i+1] = in[i]
half := len(upsampleFIR) / 2
for i := range out {
var acc float64
// The zero-stuffed signal is non-zero only at even indices, so only
// every other tap contributes — the loop skips the zeros rather than
// multiplying by them.
start := (i - half + 1) &^ 1 // first even index in the window
for j := start; j <= i+half; j += 2 {
k := i - j + half
if k < 0 || k >= len(upsampleFIR) {
continue
}
src := j / 2
if src < 0 || src >= len(in) {
continue
}
acc += float64(in[src]) * upsampleFIR[k]
}
// ×2 for the energy lost to zero-stuffing, then clamp.
v := acc * 2
if v > 32767 {
v = 32767
} else if v < -32768 {
v = -32768
}
out[i] = int16(v)
}
return out
}
// upsampleFIR is a 63-tap Hamming-windowed sinc, cut off at a quarter of the
// NEW rate (8 kHz at 32 kHz) — exactly the old Nyquist, which is where the
// images begin.
var upsampleFIR = func() []float64 {
const n = 63
const fc = 0.25 // cycles/sample at the new rate
h := make([]float64, n)
mid := (n - 1) / 2
var sum float64
for i := 0; i < n; i++ {
m := float64(i - mid)
var v float64
if m == 0 {
v = 2 * fc
} else {
v = math.Sin(2*math.Pi*fc*m) / (math.Pi * m)
}
// Hamming window: a rectangular one would ring and put the stopband
// only ~21 dB down, which is not enough to be worth the filter.
v *= 0.54 - 0.46*math.Cos(2*math.Pi*float64(i)/float64(n-1))
h[i] = v
sum += v
}
for i := range h {
h[i] /= sum // unity gain at DC
}
return h
}()
+79
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@@ -0,0 +1,79 @@
package audio
import (
"math"
"testing"
)
// goertzel returns the magnitude of one frequency bin, so a test can ask "how
// much energy is at 10 kHz" without pulling in an FFT.
func goertzel(x []int16, fs, freq float64) float64 {
w := 2 * math.Pi * freq / fs
c := 2 * math.Cos(w)
var s1, s2 float64
for _, v := range x {
s := float64(v) + c*s1 - s2
s2, s1 = s1, s
}
return math.Hypot(s1-s2*math.Cos(w), s2*math.Sin(w))
}
// Upsampling 16 kHz → 32 kHz must not create an audible mirror image.
//
// MP3 recordings came back with a hiss that is not on the air and is not in the
// WAV of the same audio — "louder than the voice", from a station that hears the
// voice well clear of the noise. The MP3 path is the only one that resamples,
// and it did so by linear interpolation: every component at f is mirrored to
// 16 kHz f, which for broadband receiver noise means a second noise floor
// spread across the top of the band.
func TestUpsampleSuppressesTheImage(t *testing.T) {
const fs = 16000.0
const tone = 6000.0 // its image lands at 16000 6000 = 10 kHz
in := make([]int16, 4096)
for i := range in {
in[i] = int16(12000 * math.Sin(2*math.Pi*tone*float64(i)/fs))
}
out := upsample2(in)
if len(out) != 2*len(in) {
t.Fatalf("upsample2 returned %d samples for %d", len(out), len(in))
}
wanted := goertzel(out, 2*fs, tone)
image := goertzel(out, 2*fs, 2*fs-tone-16000) // = 10 kHz
if wanted == 0 {
t.Fatal("the tone itself did not survive upsampling")
}
db := 20 * math.Log10(image/wanted)
t.Logf("image at 10 kHz is %.1f dB below the 6 kHz tone", db)
if db > -35 {
t.Errorf("image only %.1f dB down — it is audible as added hiss; want at least 35 dB", db)
}
}
// The filter must not change the level, or every existing recording would come
// back quieter (or clipped) after the fix — a second surprise on top of the one
// being repaired.
func TestUpsampleKeepsTheLevel(t *testing.T) {
const fs = 16000.0
in := make([]int16, 4096)
for i := range in {
in[i] = int16(10000 * math.Sin(2*math.Pi*1000*float64(i)/fs))
}
rms := func(x []int16) float64 {
var acc float64
for _, v := range x {
acc += float64(v) * float64(v)
}
return math.Sqrt(acc / float64(len(x)))
}
// Skip the filter's warm-up and tail, where the window is only partly fed.
out := upsample2(in)
got, want := rms(out[200:len(out)-200]), rms(in[100:len(in)-100])
ratio := got / want
t.Logf("level after upsampling: ×%.3f", ratio)
if ratio < 0.9 || ratio > 1.1 {
t.Errorf("level changed by ×%.3f — want within 10%%", ratio)
}
}