Add --cut-slope option for filter steepness (default 12 dB/oct); cascade biquads for steeper slopes; update docs

This commit is contained in:
Bastian Bührig
2025-07-11 10:31:48 +02:00
parent 0cb60d884c
commit 8d9afb4fc6
4 changed files with 53 additions and 6 deletions

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@@ -7,7 +7,7 @@ A CLI tool for processing WAV files to generate impulse responses (IR) from swee
- **Fast FFT-based deconvolution** for accurate IR extraction
- **Automatic input conversion:** Accepts any WAV sample rate, bit depth, or channel count
- **Optional output IR length:** Specify output IR length in milliseconds with --length-ms
- **Optional low-cut and high-cut filtering:** Apply 2nd-order Butterworth filters to the recorded sweep before IR extraction (--lowcut, --highcut)
- **Optional low-cut and high-cut filtering:** Apply Butterworth filters to the recorded sweep before IR extraction (--lowcut, --highcut, --cut-slope)
- **Automatic fade-out:** Linear fade-out at the end of the IR to avoid clicks (default 5 ms, configurable with --fade-ms)
- **96kHz 24-bit WAV file support** for high-quality audio processing
- **Multiple output formats** with configurable sample rates and bit depths
@@ -79,6 +79,14 @@ You can apply a low-cut (high-pass) and/or high-cut (low-pass) filter to the rec
This applies a 40 Hz low-cut (high-pass) and 18 kHz high-cut (low-pass) filter to the recorded sweep.
You can control the filter steepness (slope) with `--cut-slope` (in dB/octave, default 12). For example:
```sh
./valhallir-deconvolver --sweep sweep.wav --recorded recorded.wav --output ir.wav --lowcut 40 --highcut 18000 --cut-slope 24
```
This applies a 40 Hz low-cut and 18 kHz high-cut, both with a 24 dB/octave slope (steeper than the default 12).
### Different Output Formats
Generate IRs in different sample rates and bit depths:
@@ -141,6 +149,7 @@ Generate IRs in different sample rates and bit depths:
| `--fade-ms` | Fade-out duration in milliseconds at end of IR (default 5) | 5 | No |
| `--lowcut` | Low-cut filter (high-pass) cutoff frequency in Hz (recorded sweep) | - | No |
| `--highcut` | High-cut filter (low-pass) cutoff frequency in Hz (recorded sweep) | - | No |
| `--cut-slope` | Filter slope in dB/octave (12, 24, 36, ...; default 12) | 12 | No |
## File Requirements
@@ -173,8 +182,9 @@ Generate IRs in different sample rates and bit depths:
- You can change the fade duration with `--fade-ms`
### Filtering
- You can apply a 2nd-order Butterworth low-cut (high-pass) and/or high-cut (low-pass) filter to the recorded sweep before IR extraction
- You can apply a Butterworth low-cut (high-pass) and/or high-cut (low-pass) filter to the recorded sweep before IR extraction
- Use `--lowcut` and/or `--highcut` to specify cutoff frequencies in Hz
- Use `--cut-slope` to control the filter steepness (12 dB/octave = gentle, 24+ = steeper)
### Deconvolution Process
1. **FFT-based deconvolution** of recorded signal by sweep signal

17
main.go
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@@ -73,6 +73,11 @@ func main() {
Name: "lowcut",
Usage: "Low-cut filter (high-pass) cutoff frequency in Hz (applied to recorded sweep, optional)",
},
&cli.IntFlag{
Name: "cut-slope",
Usage: "Cut filter slope in dB/octave (12, 24, 36, 48, ...; default 12)",
Value: 12,
},
},
Action: func(c *cli.Context) error {
// Read sweep WAV file
@@ -95,13 +100,17 @@ func main() {
recSampleRate := recordedData.SampleRate
highcutHz := c.Float64("highcut")
lowcutHz := c.Float64("lowcut")
cutSlope := c.Int("cut-slope")
if cutSlope < 12 || cutSlope%12 != 0 {
return fmt.Errorf("cut-slope must be a positive multiple of 12 (got %d)", cutSlope)
}
if lowcutHz > 0 {
log.Printf("Applying low-cut (high-pass) filter to recorded sweep: %.2f Hz", lowcutHz)
recordedFiltered = convolve.ApplyHighpassButterworth(recordedFiltered, recSampleRate, lowcutHz)
log.Printf("Applying low-cut (high-pass) filter to recorded sweep: %.2f Hz, slope: %d dB/oct", lowcutHz, cutSlope)
recordedFiltered = convolve.CascadeLowcut(recordedFiltered, recSampleRate, lowcutHz, cutSlope)
}
if highcutHz > 0 {
log.Printf("Applying high-cut (low-pass) filter to recorded sweep: %.2f Hz", highcutHz)
recordedFiltered = convolve.ApplyLowpassButterworth(recordedFiltered, recSampleRate, highcutHz)
log.Printf("Applying high-cut (low-pass) filter to recorded sweep: %.2f Hz, slope: %d dB/oct", highcutHz, cutSlope)
recordedFiltered = convolve.CascadeHighcut(recordedFiltered, recSampleRate, highcutHz, cutSlope)
}
log.Println("Performing deconvolution...")

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@@ -425,3 +425,31 @@ func ApplyHighpassButterworth(data []float64, sampleRate int, cutoffHz float64)
}
return out
}
// CascadeLowcut applies the low-cut (high-pass) filter multiple times for steeper slopes.
// slopeDb: 12, 24, 36, ... (dB/octave)
func CascadeLowcut(data []float64, sampleRate int, cutoffHz float64, slopeDb int) []float64 {
if slopeDb < 12 {
slopeDb = 12
}
n := slopeDb / 12
out := data
for i := 0; i < n; i++ {
out = ApplyHighpassButterworth(out, sampleRate, cutoffHz)
}
return out
}
// CascadeHighcut applies the high-cut (low-pass) filter multiple times for steeper slopes.
// slopeDb: 12, 24, 36, ... (dB/octave)
func CascadeHighcut(data []float64, sampleRate int, cutoffHz float64, slopeDb int) []float64 {
if slopeDb < 12 {
slopeDb = 12
}
n := slopeDb / 12
out := data
for i := 0; i < n; i++ {
out = ApplyLowpassButterworth(out, sampleRate, cutoffHz)
}
return out
}

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testdata/ir.wav vendored

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