function [pesq_mos, pesq_seg] = pesq(ref, deg, fs) % Check inputs if nargin < 3 fs = 16000; end if nargin < 2 error('Not enough input arguments'); end if length(ref) ~= length(deg) error('Input signals must be of equal length'); end % Load filter coefficients load('pesq_filter.mat'); % High-pass filter deg_hp = filter(b_hp, a_hp, deg); % Remove silence [r_beg, r_end] = find_voiced(ref, fs); [d_beg, d_end] = find_voiced(deg_hp, fs); r_sig = ref(r_beg:r_end); d_sig = deg_hp(d_beg:d_end); % Find maximum length sig_len = min(length(r_sig), length(d_sig)); % Filter signals r_sig = filter(b_lpf, a_lpf, r_sig(1:sig_len)); d_sig = filter(b_lpf, a_lpf, d_sig(1:sig_len)); % Resample signals r_sig = resample(r_sig, 8000, fs); d_sig = resample(d_sig, 8000, fs); % Calculate PESQ [pesq_mos, pesq_seg] = pesq_mex(r_sig, d_sig); end function [beg, endd] = find_voiced(sig, fs) % Set parameters win_len = 240; win_shift = 80; sil_thresh = 30; min_voiced = 0.1; % Calculate energy sig_pow = sig.^2; sig_pow_filt = filter(ones(1, win_len)/win_len, 1, sig_pow); % Normalize sig_pow_filt = sig_pow_filt/max(sig_pow_filt); % Find voiced segments beg = []; endd = []; num_voiced = 0; for n = 1:win_shift:length(sig)-win_len if sig_pow_filt(n+win_len/2) > min_voiced && ... mean(sig_pow_filt(n:n+win_len-1)) > sil_thresh if isempty(beg) beg = n; end else if ~isempty(beg) endd = [endd n-1]; num_voiced = num_voiced + 1; beg = []; end end end if ~isempty(beg) endd = [endd length(sig)]; num_voiced = num_voiced + 1; end % Remove segments that are too short min_len = fs*0.05; len_voiced = endd-beg+1; too_short = len_voiced < min_len; beg(too_short) = []; endd(too_short) = []; end中的pesq_mex.mexa64

根据代码中的注释，这是一个用于计算语音质量评估(PESQ)的Matlab函数。其中使用了一个高通滤波器和一个低通滤波器对输入信号进行处理，并对信号进行了重采样。函数中还调用了一个名为`find_voiced`的子函数，用于寻找语音信号中的有声段落。最后，函数调用了一个名为`pesq_mex`的MEX函数，该函数可能是用C或C++编写的，用于计算PESQ分值。

相关问题

function [pesq_mos, pesq_seg] = pesq(ref, deg, fs) % Check inputs if nargin < 3 fs = 16000; end if nargin < 2 error('Not enough input arguments'); end if length(ref) ~= length(deg) error('Input signals must be of equal length'); end % Load filter coefficients load('pesq_filter.mat'); % High-pass filter deg_hp = filter(b_hp, a_hp, deg); % Remove silence [r_beg, r_end] = find_voiced(ref, fs); [d_beg, d_end] = find_voiced(deg_hp, fs); r_sig = ref(r_beg:r_end); d_sig = deg_hp(d_beg:d_end); % Find maximum length sig_len = min(length(r_sig), length(d_sig)); % Filter signals r_sig = filter(b_lpf, a_lpf, r_sig(1:sig_len)); d_sig = filter(b_lpf, a_lpf, d_sig(1:sig_len)); % Resample signals r_sig = resample(r_sig, 8000, fs); d_sig = resample(d_sig, 8000, fs); % Calculate PESQ [pesq_mos, pesq_seg] = pesq_mex(r_sig, d_sig); end function [beg, endd] = find_voiced(sig, fs) % Set parameters win_len = 240; win_shift = 80; sil_thresh = 30; min_voiced = 0.1; % Calculate energy sig_pow = sig.^2; sig_pow_filt = filter(ones(1, win_len)/win_len, 1, sig_pow); % Normalize sig_pow_filt = sig_pow_filt/max(sig_pow_filt); % Find voiced segments beg = []; endd = []; num_voiced = 0; for n = 1:win_shift:length(sig)-win_len if sig_pow_filt(n+win_len/2) > min_voiced && ... mean(sig_pow_filt(n:n+win_len-1)) > sil_thresh if isempty(beg) beg = n; end else if ~isempty(beg) endd = [endd n-1]; num_voiced = num_voiced + 1; beg = []; end end end if ~isempty(beg) endd = [endd length(sig)]; num_voiced = num_voiced + 1; end % Remove segments that are too short min_len = fs*0.05; len_voiced = endd-beg+1; too_short = len_voiced < min_len; beg(too_short) = []; endd(too_short) = []; end这段代码中的pesq_mex.mex64文件怎么编译

该mex文件是用C或C++语言编写的，需要使用MATLAB的mex命令进行编译。具体的步骤如下：

1. 打开MATLAB命令窗口，进入pesq_mex.c文件所在的目录。

2. 输入以下命令：

mex pesq_mex.c

3. 如果编译成功，则会生成pesq_mex.mex64或pesq_mex.mexw64文件，如果失败，则会提示错误信息。如果出现错误信息，需要根据错误信息进行调试和修改。

4. 将生成的pesq_mex.mex64或pesq_mex.mexw64文件复制到pesq函数所在的目录中，即可在MATLAB中调用pesq函数。

没有PESQ库时，如何用MATLAB计算PESQ代码

如果没有PESQ库，可以使用MATLAB计算PESQ。以下是实现PESQ评估算法的MATLAB代码：

function [pesq_mos, pesq_seg] = pesq(ref, deg, fs)

% Check inputs
if nargin < 3
    fs = 16000;
end
if nargin < 2
    error('Not enough input arguments');
end
if length(ref) ~= length(deg)
    error('Input signals must be of equal length');
end

% Load filter coefficients
load('pesq_filter.mat');

% High-pass filter
deg_hp = filter(b_hp, a_hp, deg);

% Remove silence
[r_beg, r_end] = find_voiced(ref, fs);
[d_beg, d_end] = find_voiced(deg_hp, fs);
r_sig = ref(r_beg:r_end);
d_sig = deg_hp(d_beg:d_end);

% Find maximum length
sig_len = min(length(r_sig), length(d_sig));

% Filter signals
r_sig = filter(b_lpf, a_lpf, r_sig(1:sig_len));
d_sig = filter(b_lpf, a_lpf, d_sig(1:sig_len));

% Resample signals
r_sig = resample(r_sig, 8000, fs);
d_sig = resample(d_sig, 8000, fs);

% Calculate PESQ
[pesq_mos, pesq_seg] = pesq_mex(r_sig, d_sig);
end

function [beg, endd] = find_voiced(sig, fs)

% Set parameters
win_len = 240;
win_shift = 80;
sil_thresh = 30;
min_voiced = 0.1;

% Calculate energy
sig_pow = sig.^2;
sig_pow_filt = filter(ones(1, win_len)/win_len, 1, sig_pow);

% Normalize
sig_pow_filt = sig_pow_filt/max(sig_pow_filt);

% Find voiced segments
beg = [];
endd = [];
num_voiced = 0;
for n = 1:win_shift:length(sig)-win_len
    if sig_pow_filt(n+win_len/2) > min_voiced && ...
            mean(sig_pow_filt(n:n+win_len-1)) > sil_thresh
        if isempty(beg)
            beg = n;
        end
    else
        if ~isempty(beg)
            endd = [endd n-1];
            num_voiced = num_voiced + 1;
            beg = [];
        end
    end
end
if ~isempty(beg)
    endd = [endd length(sig)];
    num_voiced = num_voiced + 1;
end

% Remove segments that are too short
min_len = fs*0.05;
len_voiced = endd-beg+1;
too_short = len_voiced < min_len;
beg(too_short) = [];
endd(too_short) = [];
end

需要注意的是，该代码使用了一个名为`pesq_filter.mat`的文件，保存了PESQ算法所需的滤波器系数。这个文件可以从网络上下载，或者自己生成。另外，该代码还使用了一个名为`pesq_mex.mexa64`的文件，这个文件是PESQ算法的C实现，需要编译得到。