#!/usr/bin/env python3 """Render-parity harness (Phase 5 step 5, dB stage). Measures the steady-state per-tone reduction directly on the reference wavs in /home/m/soothe-bt/ and compares with the B.12 bridge model (g*LUT + w*warp^a). Model: C(f) = g*LUT(log10(L0/res_band(f,fc,Q))) + w*warp(f)^a -> red = -20*log10(1-C). LUT is the frozen PCHIP (B.11 knots). g=1.221, w=0.358, a=3.143 (model_fir.py canonical). Reference renders: 24-bit WAV, input sources 16-bit mono. Tone amplitude estimated by Goertzel at the exact tone frequency over a late steady window (3.0-3.75 s region). """ import wave import numpy as np from scipy.interpolate import PchipInterpolator BT = '/home/m/soothe-bt/' FS = 44100.0 GAIN = 4.132 # 10^(sens_dB/40) with sens_dB=24.65 QM = [0.1, 0.2, 0.3, 0.5, 0.7, 1.0, 1.5, 2.0, 3.0, 5.0, 10.0] FCS = [800., 900., 950., 1000., 1050., 1100., 1200.] L0D = 10 ** (-7.142 / 20) # dual input tone level L0Q = 10 ** (-18.063 / 20) # t1kq input tone level L0T = 1.0 # t1k input tone level (0 dBFS) # frozen LUT knots (B.11) LX = np.array([-0.75, -0.5, -0.25, 0, 0.25, 0.5, 0.574, 0.61, 0.75, 1.0]) LY = np.array([0.4402, 0.4552, 0.4813, 0.5072, 0.5329, 0.5332, 0.5645, 0.6471, 0.6562, 0.6670]) LUT = PchipInterpolator(LX, LY) def load(p): w = wave.open(p, 'rb') n, ch, sr, sw = w.getnframes(), w.getnchannels(), w.getframerate(), w.getsampwidth() b = w.readframes(n) N = n * ch if sw == 2: x = np.frombuffer(b, dtype='= 0x800000, x - 0x1000000, x).astype(np.float64) / 8388607.0 return x.reshape(-1, ch) def tone_amp(p, f): a = load(p) end = min(len(a), int(3.5 * FS)) seg = a[:end][-int(0.75 * FS):] x = np.mean(seg, axis=1) n = len(x) w = 2 * np.pi * f / FS cw = 2 * np.cos(w) s0 = s1 = s2 = 0.0 for v in x: s2 = s1 s1 = s0 s0 = v + cw * s1 - s2 return np.sqrt(abs(s0 * s0 + s1 * s1 - 2 * cw * s0 * s1)) / n def red(src, out, f): return 20 * np.log10(tone_amp(src, f) / tone_amp(out, f)) def res_band(f, fc, Q): w0 = fc * 2 * np.pi / FS c, s = np.cos(w0), np.sin(w0) p = (s * 0.5) / Q a, a2 = p * GAIN, p / GAIN A = [a + 1, -2 * c, 1 - a] B = [a2 + 1, -2 * c, 1 - a2] ww = 2 * np.pi * f / FS z = np.exp(-1j * ww) return abs(2 * (B[0] + B[1] * z + B[2] * z * z) / (A[0] + A[1] * z + A[2] * z * z)) def warp(f): x = f / 2000. return 0.87 * 7.942 * x / (7.942 + x) def pred(f, fc, Q, L0): xv = np.log10(L0 / res_band(f, fc, Q)) C = 1.221 * float(LUT(float(np.clip(xv, -1, 1.5)))) + 0.358 * warp(f) ** 3.143 return -20 * np.log10(1 - min(C, 0.999)) def main(): meas, pr = [], [] for q in QM: for f in (500, 2000): meas.append(red(BT + 'dual.wav', BT + f'dual_b1q_{q}.wav', f)) pr.append(pred(f, 500, q, L0D)) for fc in FCS: meas.append(red(BT + 'tone1kq.wav', BT + f't1kq_b1f_{int(fc)}.wav', 1000)) pr.append(pred(1000, fc, 0.9999978, L0Q)) for fc in FCS: meas.append(red(BT + 'tone1k.wav', BT + f't1k_b1f_{int(fc)}.wav', 1000)) pr.append(pred(1000, fc, 0.9999978, L0T)) meas = np.array(meas) pr = np.array(pr) print('RENDER-PARITY vs /home/m/soothe-bt (36 pts, real wavs), B.12 (g=1.221,w=0.358,a=3.143):') print(' TOTAL rmse = %.4f dB' % np.sqrt(np.mean((pr - meas) ** 2))) for name, sl in [('dual500', slice(0, 22, 2)), ('dual2000', slice(1, 22, 2)), ('t1kq', slice(22, 29)), ('t1k', slice(29, 36))]: print(' %-9s rmse=%.4f' % (name, np.sqrt(np.mean((pr[sl] - meas[sl]) ** 2)))) print(' dual2000 resid:', ' '.join('%+.2f' % x for x in (pr[1:22:2] - meas[1:22:2]))) print(' t1kq resid: ', ' '.join('%+.2f' % x for x in (pr[22:29] - meas[22:29]))) print(' t1k resid: ', ' '.join('%+.2f' % x for x in (pr[29:] - meas[29:]))) if __name__ == '__main__': main()