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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| /Users/darius/Documents/research/versa/versa/sequence_metrics/2f_model/README.md | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,99 @@ | ||
| function [Nc, fc, fl, fu, dz] = PQCB (Version) | ||
| % Critical band parameters for the FFT model | ||
|
|
||
| % P. Kabal $Revision: 1.1 $ $Date: 2003/12/07 13:32:57 $ | ||
|
|
||
| B = inline ('7 * asinh (f / 650)'); | ||
| BI = inline ('650 * sinh (z / 7)'); | ||
|
|
||
| fL = 80; | ||
| fU = 18000; | ||
|
|
||
| % Critical bands - set up the tables | ||
| if (strcmp (Version, 'Basic')) | ||
| dz = 1/4; | ||
| elseif (strcmp (Version, 'Advanced')) | ||
| dz = 1/2; | ||
| else | ||
| error ('PQCB: Invalid version'); | ||
| end | ||
|
|
||
| zL = B(fL); | ||
| zU = B(fU); | ||
| Nc = ceil((zU - zL) / dz); | ||
| zl = zL + (0:Nc-1) * dz; | ||
| zu = min (zL + (1:Nc) * dz, zU); | ||
| zc = 0.5 * (zl + zu); | ||
|
|
||
| fl = BI (zl); | ||
| fc = BI (zc); | ||
| fu = BI (zu); | ||
|
|
||
| if (strcmp (Version, 'Basic')) | ||
| fl = [ 80.000, 103.445, 127.023, 150.762, 174.694, ... | ||
| 198.849, 223.257, 247.950, 272.959, 298.317, ... | ||
| 324.055, 350.207, 376.805, 403.884, 431.478, ... | ||
| 459.622, 488.353, 517.707, 547.721, 578.434, ... | ||
| 609.885, 642.114, 675.161, 709.071, 743.884, ... | ||
| 779.647, 816.404, 854.203, 893.091, 933.119, ... | ||
| 974.336, 1016.797, 1060.555, 1105.666, 1152.187, ... | ||
| 1200.178, 1249.700, 1300.816, 1353.592, 1408.094, ... | ||
| 1464.392, 1522.559, 1582.668, 1644.795, 1709.021, ... | ||
| 1775.427, 1844.098, 1915.121, 1988.587, 2064.590, ... | ||
| 2143.227, 2224.597, 2308.806, 2395.959, 2486.169, ... | ||
| 2579.551, 2676.223, 2776.309, 2879.937, 2987.238, ... | ||
| 3098.350, 3213.415, 3332.579, 3455.993, 3583.817, ... | ||
| 3716.212, 3853.817, 3995.399, 4142.547, 4294.979, ... | ||
| 4452.890, 4616.482, 4785.962, 4961.548, 5143.463, ... | ||
| 5331.939, 5527.217, 5729.545, 5939.183, 6156.396, ... | ||
| 6381.463, 6614.671, 6856.316, 7106.708, 7366.166, ... | ||
| 7635.020, 7913.614, 8202.302, 8501.454, 8811.450, ... | ||
| 9132.688, 9465.574, 9810.536, 10168.013, 10538.460, ... | ||
| 10922.351, 11320.175, 11732.438, 12159.670, 12602.412, ... | ||
| 13061.229, 13536.710, 14029.458, 14540.103, 15069.295, ... | ||
| 15617.710, 16186.049, 16775.035, 17385.420 ]; | ||
| fc = [ 91.708, 115.216, 138.870, 162.702, 186.742, ... | ||
| 211.019, 235.566, 260.413, 285.593, 311.136, ... | ||
| 337.077, 363.448, 390.282, 417.614, 445.479, ... | ||
| 473.912, 502.950, 532.629, 562.988, 594.065, ... | ||
| 625.899, 658.533, 692.006, 726.362, 761.644, ... | ||
| 797.898, 835.170, 873.508, 912.959, 953.576, ... | ||
| 995.408, 1038.511, 1082.938, 1128.746, 1175.995, ... | ||
| 1224.744, 1275.055, 1326.992, 1380.623, 1436.014, ... | ||
| 1493.237, 1552.366, 1613.474, 1676.641, 1741.946, ... | ||
| 1809.474, 1879.310, 1951.543, 2026.266, 2103.573, ... | ||
| 2183.564, 2266.340, 2352.008, 2440.675, 2532.456, ... | ||
| 2627.468, 2725.832, 2827.672, 2933.120, 3042.309, ... | ||
| 3155.379, 3272.475, 3393.745, 3519.344, 3649.432, ... | ||
| 3784.176, 3923.748, 4068.324, 4218.090, 4373.237, ... | ||
| 4533.963, 4700.473, 4872.978, 5051.700, 5236.866, ... | ||
| 5428.712, 5627.484, 5833.434, 6046.825, 6267.931, ... | ||
| 6497.031, 6734.420, 6980.399, 7235.284, 7499.397, ... | ||
| 7773.077, 8056.673, 8350.547, 8655.072, 8970.639, ... | ||
| 9297.648, 9636.520, 9987.683, 10351.586, 10728.695, ... | ||
| 11119.490, 11524.470, 11944.149, 12379.066, 12829.775, ... | ||
| 13294.850, 13780.887, 14282.503, 14802.338, 15341.057, ... | ||
| 15899.345, 16477.914, 17077.504, 17690.045 ]; | ||
| fu = [ 103.445, 127.023, 150.762, 174.694, 198.849, ... | ||
| 223.257, 247.950, 272.959, 298.317, 324.055, ... | ||
| 350.207, 376.805, 403.884, 431.478, 459.622, ... | ||
| 488.353, 517.707, 547.721, 578.434, 609.885, ... | ||
| 642.114, 675.161, 709.071, 743.884, 779.647, ... | ||
| 816.404, 854.203, 893.091, 933.113, 974.336, ... | ||
| 1016.797, 1060.555, 1105.666, 1152.187, 1200.178, ... | ||
| 1249.700, 1300.816, 1353.592, 1408.094, 1464.392, ... | ||
| 1522.559, 1582.668, 1644.795, 1709.021, 1775.427, ... | ||
| 1844.098, 1915.121, 1988.587, 2064.590, 2143.227, ... | ||
| 2224.597, 2308.806, 2395.959, 2486.169, 2579.551, ... | ||
| 2676.223, 2776.309, 2879.937, 2987.238, 3098.350, ... | ||
| 3213.415, 3332.579, 3455.993, 3583.817, 3716.212, ... | ||
| 3853.348, 3995.399, 4142.547, 4294.979, 4452.890, ... | ||
| 4643.482, 4785.962, 4961.548, 5143.463, 5331.939, ... | ||
| 5527.217, 5729.545, 5939.183, 6156.396, 6381.463, ... | ||
| 6614.671, 6856.316, 7106.708, 7366.166, 7635.020, ... | ||
| 7913.614, 8202.302, 8501.454, 8811.450, 9132.688, ... | ||
| 9465.574, 9810.536, 10168.013, 10538.460, 10922.351, ... | ||
| 11320.175, 11732.438, 12159.670, 12602.412, 13061.229, ... | ||
| 13536.710, 14029.458, 14540.103, 15069.295, 15617.710, ... | ||
| 16186.049, 16775.035, 17385.420, 18000.000 ]; | ||
| end |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,60 @@ | ||
| function X2 = PQDFTFrame (x) | ||
| % Calculate the DFT of a frame of data (NF values), returning the | ||
| % squared-magnitude DFT vector (NF/2 + 1 values) | ||
|
|
||
| % P. Kabal $Revision: 1.1 $ $Date: 2003/12/07 13:32:57 $ | ||
|
|
||
| persistent hw | ||
|
|
||
| NF = 2048; % Frame size (samples) | ||
|
|
||
| if (isempty (hw)) | ||
| Amax = 32768; | ||
| fc = 1019.5; | ||
| Fs = 48000; | ||
| Lp = 92; | ||
| % Set up the window (including all gains) | ||
| GL = PQ_GL (NF, Amax, fc/Fs, Lp); | ||
| hw = GL * PQHannWin (NF); | ||
| end | ||
|
|
||
| % Window the data | ||
| xw = hw .* x; | ||
|
|
||
| % DFT (output is real followed by imaginary) | ||
| X = PQRFFT (xw, NF, 1); | ||
|
|
||
| % Squared magnitude | ||
| X2 = PQRFFTMSq (X, NF); | ||
|
|
||
| %---------------------------------------- | ||
| function GL = PQ_GL (NF, Amax, fcN, Lp) | ||
| % Scaled Hann window, including loudness scaling | ||
|
|
||
| % Calculate the gain for the Hann Window | ||
| % - level Lp (SPL) corresponds to a sine with normalized frequency | ||
| % fcN and a peak value of Amax | ||
|
|
||
| W = NF - 1; | ||
| gp = PQ_gp (fcN, NF, W); | ||
| GL = 10^(Lp / 20) / (gp * Amax/4 * W); | ||
|
|
||
| %---------- | ||
| function gp = PQ_gp (fcN, NF, W) | ||
| % Calculate the peak factor. The signal is a sinusoid windowed with | ||
| % a Hann window. The sinusoid frequency falls between DFT bins. The | ||
| % peak of the frequency response (on a continuous frequency scale) falls | ||
| % between DFT bins. The largest DFT bin value is the peak factor times | ||
| % the peak of the continuous response. | ||
| % fcN - Normalized sinusoid frequency (0-1) | ||
| % NF - Frame (DFT) length samples | ||
| % NW - Window length samples | ||
|
|
||
| % Distance to the nearest DFT bin | ||
| df = 1 / NF; | ||
| k = floor (fcN / df); | ||
| dfN = min ((k+1) * df - fcN, fcN - k * df); | ||
|
|
||
| dfW = dfN * W; | ||
| gp = sin(pi * dfW) / (pi * dfW * (1 - dfW^2)); | ||
|
|
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,111 @@ | ||
| function [MOVI, Fmem] = PQeval (xR, xT, Fmem) | ||
| % PEAQ - Process one frame with the FFT model | ||
|
|
||
| % P. Kabal $Revision: 1.1 $ $Date: 2003/12/07 13:32:58 $ | ||
|
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||
| NF = 2048; | ||
| Version = 'Basic'; | ||
|
|
||
| % Windowed DFT | ||
| X2(1,:) = PQDFTFrame (xR); | ||
| X2(2,:) = PQDFTFrame (xT); | ||
|
|
||
| % Critical band grouping and frequency spreading | ||
| [EbN, Es] = PQ_excitCB (X2); | ||
|
|
||
| % Time domain smoothing => "Excitation patterns" | ||
| [Ehs(1,:), Fmem.TDS.Ef(1,:)] = PQ_timeSpread (Es(1,:), Fmem.TDS.Ef(1,:)); | ||
| [Ehs(2,:), Fmem.TDS.Ef(2,:)] = PQ_timeSpread (Es(2,:), Fmem.TDS.Ef(2,:)); | ||
|
|
||
| % Level and pattern adaptation => "Spectrally adapted patterns" | ||
| [EP, Fmem.Adap] = PQadapt (Ehs, Fmem.Adap, Version, 'FFT'); | ||
|
|
||
| % Modulation patterns | ||
| [M, ERavg, Fmem.Env] = PQmodPatt (Es, Fmem.Env); | ||
| % Loudness | ||
| MOVI.Loud.NRef = PQloud (Ehs(1,:), Version, 'FFT'); | ||
| MOVI.Loud.NTest = PQloud (Ehs(2,:), Version, 'FFT'); | ||
|
|
||
| % Modulation differences | ||
| MOVI.MDiff = PQmovModDiffB (M, ERavg); | ||
|
|
||
| % Noise Loudness | ||
| MOVI.NLoud.NL = PQmovNLoudB (M, EP); | ||
|
|
||
| % Bandwidth | ||
| MOVI.BW = PQmovBW (X2); | ||
|
|
||
| % Noise-to-mask ratios | ||
| MOVI.NMR = PQmovNMRB (EbN, Ehs(1,:)); | ||
|
|
||
| % Probability of detection | ||
| MOVI.PD = PQmovPD (Ehs); | ||
|
|
||
| % Error harmonic structure | ||
| MOVI.EHS.EHS = PQmovEHS (xR, xT, X2); | ||
|
|
||
| %-------------------- | ||
| function [EbN, Es] = PQ_excitCB (X2) | ||
|
|
||
| persistent W2 EIN | ||
|
|
||
| NF = 2048; | ||
| Version = 'Basic'; | ||
| if (isempty (W2)) | ||
| Fs = 48000; | ||
| f = linspace (0, Fs/2, NF/2+1); | ||
| W2 = PQWOME (f); | ||
| [Nc, fc] = PQCB (Version); | ||
| EIN = PQIntNoise (fc); | ||
| end | ||
|
|
||
| % Allocate storage | ||
| XwN2 = zeros (1, NF/2+1); | ||
|
|
||
| % Outer and middle ear filtering | ||
| Xw2(1,:) = W2 .* X2(1,1:NF/2+1); | ||
| Xw2(2,:) = W2 .* X2(2,1:NF/2+1); | ||
|
|
||
| % Form the difference magnitude signal | ||
| for (k = 0:NF/2) | ||
| XwN2(k+1) = (Xw2(1,k+1) - 2 * sqrt (Xw2(1,k+1) * Xw2(2,k+1)) ... | ||
| + Xw2(2,k+1)); | ||
| end | ||
|
|
||
| % Group into partial critical bands | ||
| Eb(1,:) = PQgroupCB (Xw2(1,:), Version); | ||
| Eb(2,:) = PQgroupCB (Xw2(2,:), Version); | ||
| EbN = PQgroupCB (XwN2, Version); | ||
|
|
||
| % Add the internal noise term => "Pitch patterns" | ||
| E(1,:) = Eb(1,:) + EIN; | ||
| E(2,:) = Eb(2,:) + EIN; | ||
|
|
||
| % Critical band spreading => "Unsmeared excitation patterns" | ||
| Es(1,:) = PQspreadCB (E(1,:), Version); | ||
| Es(2,:) = PQspreadCB (E(2,:), Version); | ||
|
|
||
| %-------------------- | ||
| function [Ehs, Ef] = PQ_timeSpread (Es, Ef) | ||
|
|
||
| persistent Nc a b | ||
|
|
||
| if (isempty (Nc)) | ||
| [Nc, fc] = PQCB ('Basic'); | ||
| Fs = 48000; | ||
| NF = 2048; | ||
| Nadv = NF / 2; | ||
| Fss = Fs / Nadv; | ||
| t100 = 0.030; | ||
| tmin = 0.008; | ||
| [a, b] = PQtConst (t100, tmin, fc, Fss); | ||
| end | ||
|
|
||
| % Allocate storage | ||
| Ehs = zeros (1, Nc); | ||
|
|
||
| % Time domain smoothing | ||
| for (m = 0:Nc-1) | ||
| Ef(m+1) = a(m+1) * Ef(m+1) + b(m+1) * Es(m+1); | ||
| Ehs(m+1) = max(Ef(m+1), Es(m+1)); | ||
| end |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,63 @@ | ||
| function Eb = PQgroupCB (X2, Ver) | ||
| % Group a DFT energy vector into critical bands | ||
| % X2 - Squared-magnitude vector (DFT bins) | ||
| % Eb - Excitation vector (fractional critical bands) | ||
|
|
||
| % P. Kabal $Revision: 1.2 $ $Date: 2004/02/05 04:25:46 $ | ||
|
|
||
| persistent Nc kl ku Ul Uu Version | ||
|
|
||
| Emin = 1e-12; | ||
|
|
||
| if (~ strcmp (Ver, Version)) | ||
| Version = Ver; | ||
| % Set up the DFT bin to critical band mapping | ||
| NF = 2048; | ||
| Fs = 48000; | ||
| [Nc, kl, ku, Ul, Uu] = PQ_CBMapping (NF, Fs, Version); | ||
| end | ||
|
|
||
| % Allocate storage | ||
| Eb = zeros (1, Nc); | ||
|
|
||
| % Compute the excitation in each band | ||
| for (i = 0:Nc-1) | ||
| Ea = Ul(i+1) * X2(kl(i+1)+1); % First bin | ||
| for (k = (kl(i+1)+1):(ku(i+1)-1)) | ||
| Ea = Ea + X2(k+1); % Middle bins | ||
| end | ||
| Ea = Ea + Uu(i+1) * X2(ku(i+1)+1); % Last bin | ||
| Eb(i+1) = max(Ea, Emin); | ||
| end | ||
|
|
||
| %--------------------------------------- | ||
| function [Nc, kl, ku, Ul, Uu] = PQ_CBMapping (NF, Fs, Version) | ||
|
|
||
| [Nc, fc, fl, fu] = PQCB (Version); | ||
|
|
||
| % Fill in the DFT bin to critical band mappings | ||
| df = Fs / NF; | ||
| for (i = 0:Nc-1) | ||
| fli = fl(i+1); | ||
| fui = fu(i+1); | ||
| for (k = 0:NF/2) | ||
| if ((k+0.5)*df > fli) | ||
| kl(i+1) = k; % First bin in band i | ||
| Ul(i+1) = (min(fui, (k+0.5)*df) ... | ||
| - max(fli, (k-0.5)*df)) / df; | ||
| break; | ||
| end | ||
| end | ||
| for (k = NF/2:-1:0) | ||
| if ((k-0.5)*df < fui) | ||
| ku(i+1) = k; % Last bin in band i | ||
| if (kl(i+1) == ku(i+1)) | ||
| Uu(i+1) = 0; % Single bin in band | ||
| else | ||
| Uu(i+1) = (min(fui, (k+0.5)*df) ... | ||
| - max(fli, (k-0.5)*df)) / df; | ||
| end | ||
| break; | ||
| end | ||
| end | ||
| end |
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