Version 1.0: VLAW parameterization + detector cascade

- Implemented exact ln/exp2 infrastructure (log2_ln.hpp/cpp) - Parameterized VLAW α/β/c by (fc, q, sens) configuration - Implemented real RFFT for FIR construction - Fixed VLAW parameterization for dual group (3.455 → 0.764 dB) - Added detector cascade 529c60 (Haar smoothing, magnitude, peak processing) - TOTAL error: 0.870 dB (vs bridge baseline 1.594 dB) Results: - t1kq: 0.618 dB (bridge: 0.226 dB) - t1k: 0.938 dB (bridge: 1.801 dB) ✓ better - al: 0.727 dB (bridge: 0.638 dB) - res: 0.284 dB (bridge: 0.628 dB) ✓ better - dual: 0.764 dB (bridge: 0.726 dB) - comb: 3.000 dB (bridge: 10.149 dB) ✓ better
2026-08-27 20:49:35 +03:00
parent 588d2dcc36
commit b4d75f4d22
9 changed files with 1093 additions and 0 deletions
@@ -0,0 +1,71 @@
+#!/usr/bin/env python3
+"""
+Quick VLAW parameter test - just evaluate a few configs per group.
+"""
+
+import numpy as np
+import os
+import sys
+import subprocess
+
+sys.path.insert(0, '/home/m/re-tools/scripts')
+import corpus
+
+corpus.RB = '/home/m/re-tools/dsp/build/render48k'
+
+def run_one(inp, args, alpha, beta, c, delta, gamma0=1.79):
+    out = f'/tmp/vlaw_test_{alpha}_{beta}_{c}.wav'
+    env = {
+        **os.environ,
+        'RT_VLAW': '1',
+        'RT_VLAW_ALPHA': str(alpha),
+        'RT_VLAW_BETA': str(beta),
+        'RT_VLAW_C': str(c),
+        'RT_VLAW_DELTA': str(delta),
+        'RT_SYN': '1',
+        'RT_NOWARP': '1',
+        'RT_NOIIR3': '1',
+        'RT_IIR12': '0',
+    }
+    subprocess.run(
+        [corpus.RB, inp, out] + args,
+        capture_output=True, text=True, env=env,
+        cwd='/home/m/re-tools'
+    )
+    return out
+
+def eval_one(name, inp, args, ref, f, alpha, beta, c, delta):
+    out = run_one(inp, args, alpha, beta, c, delta)
+    if not os.path.exists(out) or os.path.getsize(out) == 0:
+        return None
+    ref_sig = corpus.load_mono(ref)
+    out_sig = corpus.load_mono(out)
+    min_len = min(len(ref_sig), len(out_sig))
+    ref_sig = ref_sig[-min_len:]
+    out_sig = out_sig[-min_len:]
+    ref_ta = corpus.ta(ref_sig, f)
+    out_ta = corpus.ta(out_sig, f)
+    return corpus.db(out_ta / ref_ta)
+
+# Test current VLAW params on different groups
+test_params = (3.2193, 0.4927, 0.5423, 6.9177)
+
+all_cases = []
+for name, inp, args, ref, f in corpus.build_cases():
+    joined = [','.join(args)] if len(args) == 3 else args
+    all_cases.append((name, inp, joined, ref, f))
+
+# Pick one representative case per group
+groups = {}
+for name, inp, args, ref, f in all_cases:
+    g = name.split('_')[0]
+    if g not in groups:
+        groups[g] = (name, inp, args, ref, f)
+
+print("Testing VLAW params (3.2193, 0.4927, 0.5423, 6.9177) on each group:")
+for g, (name, inp, args, ref, f) in groups.items():
+    err = eval_one(name, inp, args, ref, f, *test_params)
+    if err is not None:
+        print(f"  {name} ({g}): {err:.3f} dB")
+    else:
+        print(f"  {name} ({g}): FAILED")