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119 lines
5.1 KiB
119 lines
5.1 KiB
function [frameFout, TNScoeffs] = TNS(frameFin, frameType)
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%Implementation of the TNS step
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% Usage [frameFout, TNScoeffs] = TNS(frameFin, frameType), where:
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% Inputs
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% - frameFin is the frame in the frequency domain, in MDCT coefficients
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% representation containing both channels of the audio stored in an
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% array of dimensions 1024X2
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% - frameType is the type of the current frame in string
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% representation, can be one of "OLS" (ONLY_LONG_SEQUENCE), "LSS"
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% (LONG_START_SEQUENCE), "ESH" (EIGHT_SHORT_SEQUENCE), "LPS"
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% (LONG_STOP_SEQUENCE)
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%
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% Output
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% - frameFout is the frame in the frequency domain after Temporal Noise
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% Shaping, in MDCT coefficients representation containing both channels
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% of the audio stored in an array of dimensions 1024X2
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% - TNScoeffs is the quantized TNS coefficients array of dimensions
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% 4X8 for EIGHT_SHORT_SEQUENCE frames and 4X1 otherwise
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% Declares constant numbers of bands for long and short windows
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LONG_WINDOW_NUMBER_OF_BANDS = 69;
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SHORT_WINDOW_NUMBER_OF_BANDS = 42;
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% Declares constant order of the linear prediction filter
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LPF_ORDER = 4;
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% Declares constant coefficients' resolution, in the form of number of
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% decimal digits used
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COEF_RES = 1;
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% Declares persistent variable holding the TNS tables and initializes if empty
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persistent TNSTables;
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if isempty(TNSTables)
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TNSTables = load('TableB219.mat');
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end
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if ~strcmp(frameType, 'ESH')
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% Calculates the energy per band
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bandEnergy(LONG_WINDOW_NUMBER_OF_BANDS) = 0;
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for band = 1:LONG_WINDOW_NUMBER_OF_BANDS - 1
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bandEnergy(band) = sumsqr(frameFin(TNSTables.B219a(band, 2) + 1:TNSTables.B219a(band + 1, 2)));
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end
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bandEnergy(LONG_WINDOW_NUMBER_OF_BANDS) = sumsqr(frameFin( ...
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TNSTables.B219a(LONG_WINDOW_NUMBER_OF_BANDS, 2) + 1:end));
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% Calculates the normalization factors
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bandIndices = quantiz(0:1023, TNSTables.B219a(:, 2) - 1);
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normalizationFactor = sqrt(bandEnergy(bandIndices));
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% Smooths normalization factors
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for normIndex = 1023:-1:1
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normalizationFactor(normIndex) = (normalizationFactor(normIndex) + normalizationFactor(normIndex + 1)) / 2;
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end
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for normIndex = 2:1024
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normalizationFactor(normIndex) = (normalizationFactor(normIndex) + normalizationFactor(normIndex - 1)) / 2;
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end
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% Normalizes MDCT coefficients according to each band energy
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normalizedFrameFin = frameFin ./ normalizationFactor';
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% Calculates the linear prediction coefficients
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[linPredCoeff, ~] = lpc(normalizedFrameFin, LPF_ORDER);
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% Quantizes these coefficients
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quantizedLinPredCoeff = round(linPredCoeff, COEF_RES);
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% Filters MDCT coefficients
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if ~isstable(1, quantizedLinPredCoeff)
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error('TNS, l[79]: Inverse filter not stable!');
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else
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TNScoeffs = quantizedLinPredCoeff(2:end);
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frameFout = filter(quantizedLinPredCoeff, 1, frameFin);
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end
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else
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% Initializes output vectors
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TNScoeffs(LPF_ORDER * 8) = 0;
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frameFout(1024) = 0;
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bandEnergy(SHORT_WINDOW_NUMBER_OF_BANDS) = 0;
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for subFrameIndex = 1:8
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subFrame = frameFin((subFrameIndex - 1) * 128 + 1:subFrameIndex * 128);
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% Calculates the energy per band
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for band = 1:SHORT_WINDOW_NUMBER_OF_BANDS - 1
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bandEnergy(band) = sumsqr(subFrame(TNSTables.B219b(band, 2) + 1:TNSTables.B219b(band + 1, 2)));
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end
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bandEnergy(SHORT_WINDOW_NUMBER_OF_BANDS) = sumsqr(subFrame( ...
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TNSTables.B219b(SHORT_WINDOW_NUMBER_OF_BANDS, 2) + 1:end));
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% Calculates the normalization factors
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bandIndices = quantiz(0:127, TNSTables.B219b(:, 2) - 1);
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normalizationFactor = sqrt(bandEnergy(bandIndices));
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% Smooths normalization factors
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for normIndex = 127:-1:1
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normalizationFactor(normIndex) = (normalizationFactor(normIndex) + normalizationFactor(normIndex + 1)) / 2;
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end
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for normIndex = 2:128
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normalizationFactor(normIndex) = (normalizationFactor(normIndex) + normalizationFactor(normIndex - 1)) / 2;
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end
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% Normalizes MDCT coefficients according to each band energy
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normalizedFrameFin = subFrame ./ normalizationFactor';
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% Calculates the linear prediction coefficients
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[linPredCoeff, ~] = lpc(normalizedFrameFin, LPF_ORDER);
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% Quantizes these coefficients
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quantizedLinPredCoeff = round(linPredCoeff, COEF_RES);
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% Filters MDCT coefficients
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if ~isstable(1, quantizedLinPredCoeff)
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error('TNS, l[79]: Inverse filter not stable!');
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else
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TNScoeffs((subFrameIndex - 1) * 4 + 1:subFrameIndex * 4) = quantizedLinPredCoeff(2:end);
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frameFout((subFrameIndex - 1) * 128 + 1:subFrameIndex * 128) = ...
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filter(quantizedLinPredCoeff, 1, subFrame);
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end
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end
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end
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end
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