mirror of https://github.com/thesofproject/sof.git
92 lines
1.8 KiB
Matlab
92 lines
1.8 KiB
Matlab
% [ceps, t, n] = decode_ceps(fn, num_ceps)
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%
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% Input
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% fn - File with MFCC data in .raw or .wav format
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% num_ceps - number of cepstral coefficients per frame
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%
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% Outputs
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% ceps - cepstral coefficients
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% t - time vector for plotting
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% n - ceps 1..num_ceps vector for plotting
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% SPDX-License-Identifier: BSD-3-Clause
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% Copyright(c) 2022 Intel Corporation. All rights reserved.
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function [ceps, t, n] = decode_ceps(fn, num_ceps, channels)
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if nargin < 3
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channels = 1;
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end
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% MFCC stream
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fs = 16e3;
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qformat = 7;
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magic = [25443 28006]; % ASCII 'mfcc' as int16
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% Load output data
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data = get_file(fn);
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idx1 = find(data == magic(1));
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idx = [];
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for i = 1:length(idx1)
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if data(idx1(i) + 1) == magic(2)
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idx = [idx idx1(i)];
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end
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end
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if isempty(idx)
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error('No magic value markers found from stream');
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end
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period_ceps = idx(2)-idx(1);
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num_frames = length(idx);
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t_ceps = period_ceps / channels / fs;
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t = (0:num_frames -1) * t_ceps;
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n = 1:num_ceps;
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ceps = zeros(num_ceps, num_frames);
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for i = 1:num_frames
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i1 = idx(i) + 2;
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i2 = i1 + num_ceps - 1;
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ceps(:,i) = data(i1:i2) / 2^qformat;
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end
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figure;
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surf(t, n, ceps, 'EdgeColor', 'none');
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colormap(jet);
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view(45, 60)
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tstr = sprintf('SOF MFCC cepstral coefficients (%s)', fn);
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title(tstr, 'Interpreter', 'None');
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xlabel('Time (s)');
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ylabel('Cepstral coef #');
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end
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function data = get_file(fn)
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[~, ~, ext] = fileparts(fn);
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switch lower(ext)
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case '.raw'
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fh = fopen(fn, 'r');
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data = fread(fh, 'int16');
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fclose(fh);
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case '.wav'
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tmp = audioread(fn, 'native');
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t = whos('tmp');
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if ~strcmp(t.class, 'int16');
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error('Only 16-bit wav file format is supported');
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end
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s = size(tmp);
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if s(2) > 1
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data = int16(zeros(prod(s), 1));
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for i = 1:s(2)
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data(i:s(2):end) = tmp(:, i);
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end
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end
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otherwise
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error('Unknown audio format');
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end
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end
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