gusucode.com > 《MATLAB图像与视频处理实用案例详解》代码 > 《MATLAB图像与视频处理实用案例详解》代码/第 19 章 基于语音识别的信号灯图像模拟控制技术/voicebox/modspect.m
function [c,qq,ff,tt,po]=modspect(s,fs,m,nf,nq,p)
%MODSPECT Calculate the modulation spectrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH)
%
%
% Simple use:
%
% Inputs:
% s speech signal
% fs sample rate in Hz (default 11025)
% m mode string containing any sensible combination of the following letters; these
% options override any specified in argument p.
%
% g apply AGC to the input speech
%
% r/n/m time domain windows: rectangular/hanning/hamming [def: hamming]
% T/N/M mel/mod-mel domain windows: triangular/hanning/hamming [def: triangular]
%
% a/c mel filters act in the amplitude or complex domain [def: power]
% p/l mel outputs are in power or log power [def: amplitude]
% A mod-mel filters act in the power domain [def: power]
% P/L mod-mel outputs are in amplitude or log power [def: amplitude]
% k include DC component of modulation spectrum [not implemented]
%
% F Take a DCT in the mel direction
% Z include 0'th order mel-cepstral coef
%
% f Take a DCT in the mod-mel direction
% z include 0'th order mod-mel cepstral coef
%
% D include d/df coefficients in * per mel (not valid with 'F')
% d include d/dt coefficients in * per second
%
% u give frequency axes in mels and mod-mels rather than in Hz
%
% s plot the result
% S plot intermediate results also
%
% nf four-element vector giving:
% nf(1) = number of mel bins (or increment in k-mel) [0.1]
% nf(2) = min filterbank frequency [40 Hz]
% nf(3) = max filterbank frequency [10kHz]
% nf(4) = number of DCT coefficientss excl 0'th [25].
% Omitted values use defaults.
% nq four-element vector giving
% nq(1) = number of mel-mod bins (or increment in 10 mod-mel units)
% nq(2) = min filterbank frequency [50 Hz]
% nq(3) = max filterbank frequency [400 Hz]
% nq(4) = number of DCT coefficients excl 0'th [15]
% Omitted values use defaults. Note that the mel-mod frequency scale
% is like the mel scale but reduced by a factor of 100.
% I.e. mod-mel(f)=mel(100 f)/100; thus 10Hz corresponds to 10 mod-mels.
% p parameter structure containing some or all of the parameters listed
% at the start of the program code below. p may be given as the
% last input parameter even if some or all of the inputs m, nf and nq
% have been omitted.
%
%
%
% Outputs:
% c[*,nf,nt] modulation spectrum where nt the number of time frames and
% nf is the normally number of mel frequency bins (but reduced by 1 if
% 'F' is specified without 'Z').
% The middle index is for the output coefficients
% which are concatenated in the order [base, delta-p, delta-t].
% The number of base coefficients is normally the
% number of mon-mel filters but will be reduced by 1
% if 'f' is specified but 'z' is not.
% qq centre frequencies of modulation bins before any DCT (Hz or mel if 'u' set)
% ff centre frequencies of freqiency bins before any DCT (Hz or mel if 'u' set)
% tt time axis (sample s(i) is at time i/fs)
% po a copy of the parameter structure that was actually used.
%
% Algorithm Outline [parameters are in brackets]:
%
% (1) Apply AGC to the speech to preserve a constant RMS level [tagc,tagt;'g']
% (2) Divide into overlapping frames [tinc,tovl], window [twin;'rnm'], zero-pad [tpad,trnd] and FFT
% (3) Apply mel filters in power or amplitude domain [fmin,fmax,fbin,fwin,fpow;'TNMac'=nf]
% (4) Regarding each filterbank output as a time-varying signal power or amplitude [ppow;'pl'],
% divide into overlapping frames [pinc,povl], window [pwin;'rnm'], zero-pad [ppad,prnd] and FFT
% (5) Apply mod-mel filters in power or amplitude domain [mmin,mmax,mbin,mwin,mpow;'TNMA'=nq]
% (6) Take optional log [qpow;'PL']
% (7) Optionally apply a DCT in the mel [qdcp;'F'] and/or mod-mel [qdcq;'f'] directions preserving
% the only some low quefrency coefficients [ dncp, dzcp;'Z'=nf, dncq, dzcq;'z'=nq]
% (8) Calculate derivatives over mel-frequency [ddep,ddnp;'D'] and/or over time [ddet,ddnt;'d']
%
% Notes: All logs are limitied in dynamic range [logr], output units can be Hz or mel [unit;'u']
% and optional plots can be generated [dplt;'pP'].
%
%
% [1] S. D. Ewert and T. Dau. Characterizing frequency slectivity for envelope fluctuations.
% J. Acoust Soc Amer, 108 (3): 1181?196, Sept. 2000.
% [2] M. L. Jepsen, S. D. Ewert, and T. Dau. A computational model of human auditory signal processing and perception.
% J. Acoust Soc Amer, 124 (1): 422?38, July 2008.
% [3] G. Kim, Y. Lu, Y. Hu, and P. C. Loizou. An algorithm that improves speech intelligibility
% in noise for normal-hearing listeners.
% J. Acoust Soc Amer, 126 (3): 1486?494, Sept. 2009. doi: 10.1121/1.3184603.
% [4] J. Tchorz and B. Kollmeier. Estimation of the signal-to-noise ratio with amplitude
% modulation spectrograms. Speech Commun., 38: 1?7, 2002.
% [5] J. Tchorz and B. Kollmeier. SNR estimation based on amplitude modulation analysis with
% applications to noise suppression.
% IEEE Trans Speech Audio Processing, 11 (3): 184?92, May 2003. doi: 10.1109/TSA.2003.811542.
% bugs:
% (3) should scale the derivatives so they get the correct units (e.g. power per second or per mel)
% (5) should take care of the scaling so that FFT size does not affect
% results
% (4) sort out quefrency scale for graphs
% (5) could add an option to draw an algorithm flow diagram
% Copyright (C) Mike Brookes 1997
% Version: $Id: modspect.m,v 1.11 2009/11/01 21:09:29 dmb Exp $
%
% VOICEBOX is a MATLAB toolbox for speech processing.
% Home page: http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You can obtain a copy of the GNU General Public License from
% http://www.gnu.org/copyleft/gpl.html or by writing to
% Free Software Foundation, Inc.,675 Mass Ave, Cambridge, MA 02139, USA.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
persistent PP
if isempty(PP)
% Algorithm constants: the first letter indicates the signal domain as follows:
% t=time, f=frequency, p=mel freq, m=modulation, q=mel-modulation, d=mod-cepstral
PP.logr=120; % maximum dynamic range before taking log (dB)
PP.tagc=0; % 1 = do agc
PP.tagt=2; % agc time constant
PP.tinc=0.25e-3; % time domain frame increment
PP.tovl=16; % time domain overlap factor
PP.tpad=30e-3; % time domain minimum FFT length (s). must be > 1/min spacing
% of mel filters in Hz
PP.trnd=1; % 1 to round up time domain FFT to the next power of 2
PP.twin='m'; % time domain window shape: m=hamming, n=hann
PP.fpow='p'; % mel filters act on a=amplitude or p=power or c=complex FFT coefs
PP.fmin=40; % minimum mel filterbank frequency
PP.fmax=10000; % maximum mel filterbank frequency (0 for Nyquist)
PP.fwin='t'; % mel filterbank filter shape: t=triangle, m=hamming, n=hann
PP.fbin=0.1; % number of mel filters or target spacing in k-mel
PP.ppow='a'; % modulation signal is a=amplitude or p=power or l=log-power
PP.pinc=16e-3; % modulation frame increment
PP.povl=2; % modulation frame overlap factor
PP.pwin='m'; % mel domain time-window shape
PP.ppad=200e-3; % mel domain minimum FFT length (s). must be > 1/min spacing
% of mod-mel filters in Hz
PP.prnd=1; % 1 to round up mel domain FFT to the next power of 2
PP.mpow='p'; % transform mel domain a=amplitude or p=power
PP.mwin='t'; % mel-mod filterbank filter shape: t=triangle, m=hamming, n=hann
PP.mbin=15; % Number of mel-mod filters
PP.mmin=50; % minimum modulation frequency
PP.mmax=400; % maximum modulation frequency (0 for Nyquist)
PP.qpow='a'; % Use mel-modulation domain a=amplitude or p=power or l=log-power
PP.qdcq=0; % 1 = Take DCT in modulation direction
PP.qdcp=0; % 1 = Take DCT in frequency direction
PP.dzcq=0; % 1 = include 0'th coefficient in modulation direction (always included in derivatives)
PP.dzcp=0; % 1 = include 0'th coefficient in frequency direction
PP.dncp=30; % number of frequency coefficient (excl 0'th)
PP.dncq=15; % number of mel-mod coefficient (excl 0'th)
PP.ddet=0; % 1 = include delta-time coefficients
PP.ddnt=2; % (length of time filter - 1)/2
PP.ddep=0; % 1 = include delta-freq coefficient
PP.ddnp=1; % (length of freq filter - 1)/2
PP.unit=0; % 1 = give frequency axes in mels and mod-mels
PP.dplt=0; % plotting bitfield: 1=new fig,2=link axes, 4=base coefs, 8=d/dp, 16=d/dt,
% 32=waveform, 64=spectrogram, 128=mel-spectrogram, 256=mod-spectrogram, 512 frequency chart
PP.cent=0.2; % centile to check for log plotting
PP.cchk=0.2; % fraction to require above the centile to allow linear plot
end
po=PP; % initialize the parameter structure to the default values
switch nargin
case 0
% list all fields
nn=sort(fieldnames(PP));
cnn=char(nn);
fprintf('%d Voicebox parameters:\n',length(nn));
for i=1:length(nn);
if ischar(PP.(nn{i}))
fmt=' %s = %s\n';
else
fmt=' %s = %g\n';
end
fprintf(fmt,cnn(i,:),PP.(nn{i}));
end
return
case 1
error('no sample frequency specified');
case 2
p=[];
case 3
if isstruct(m)
p=m;
m='';
else
p=[];
end
nf=[];
nq=[];
case 4
if isstruct(nf)
p=nf;
nf=[];
else
p=[];
end
nq=[];
case 5
if isstruct(nq)
p=nq;
nq=[];
else
p=[];
end
end
if isstruct(p) % copy specified fields into po structure
nn=fieldnames(p);
for i=1:length(nn)
if isfield(po,nn{i})
po.(nn{i})=p.(nn{i});
end
end
end
% now sort out the mode flags
for i=1:length(m)
switch m(i)
case 'g'
po.tagc=1;
case {'r','n','m'}
po.twin=m(i);
po.pwin=m(i);
case {'T','N','M'}
po.fwin=lower(m(i));
po.mwin=po.fwin;
case {'a','c'}
po.fpow=m(i);
case {'p','l'}
po.ppow=m(i);
case 'A'
po.mpow=lower(m(i));
case {'P','L'}
po.qpow=lower(m(i));
case 'f'
po.qdcq=1;
case 'F'
po.qdcp=1;
case 'z'
po.dzcq=1;
case 'Z'
po.dzcp=1;
case 'd'
po.ddet=1;
case 'D'
po.ddep=1;
case 'u'
po.unit=1;
case 's'
po.dplt=bitor(po.dplt,31+512);
case 'S'
po.dplt=bitor(po.dplt,1023);
end
end
if ~nargout
po.dplt=bitor(po.dplt,4); % just plot base coefficients
end
if ~isempty(nf)
po.dncp=nf;
end
if ~isempty(nq)
po.dncq=nq;
end
lnf=length(nf);
if lnf>=1
po.fbin=nf(1);
if lnf>=2
po.fmin=nf(2);
if lnf>=3
po.fmax=nf(3);
if lnf>=4
po.dncp=nf(4);
end
end
end
end
lnq=length(nq);
if lnq>=1
po.mbin=nq(1);
if lnq>=2
po.mmin=nq(2);
if lnq>=3
po.mmax=nq(3);
if lnq>=4
po.dncq=nq(4);
end
end
end
end
% finally eliminate potential incomaptibilities
po.ddep=po.ddep & (po.qdcp==0); % never differentiate along DCT axis
po.dzcq=po.dzcq | (po.qdcq==0); % include all coefficients if no DCT
po.dzcp=po.dzcp | (po.qdcp==0); % include all coefficients if no DCT
logth=10^(-po.logr/10);
ns=length(s);
axhandle=[];
%
% first apply AGC
%
if po.tagc
tau=po.tagt*fs; % time constant for power filtering
ax2=[1 -exp(-1/tau)];
bx2=sum(ax2);
sm=mean(s(1:min(ns,round(tau))).^2); % initialize filter using average of 1 tau
if sm>0
s=s./sqrt(filter(bx2,ax2,s.^2,-ax2(2)*sm)); % normalize to RMS=1
end
end
if bitand(po.dplt,32)
if bitand(po.dplt,1)
figure;
end
plot((1:ns)/fs,s);
axhandle(end+1)=gca;
title('Input after AGC');
xlabel('Time (s)');
end
%
% % calculate power spectra
%
ni=ceil(po.tinc*fs); % frame increment in samples
nw=ni*po.tovl; % window length
nf=ceil(max(nw,po.tpad*fs)); % FFT length: pad with zeros
if po.trnd
nf=2^nextpow2(nf); % round up FFT length to next power of 2
else
nf=round(nf);
end
switch po.twin
case 'm'
w=hamming(nw+1)'; w(end)=[]; % Hamming window ([2] uses Hanning)
case 'n'
w=hanning(nw-1)'; % Hanning window: underlying period is nw
case 'r'
w=ones(nw,1); % rctangular window
end
fx=rfft(enframe(s,w,ni),nf,2);
[nft,nff]=size(fx); % number of frames and frequency bins
if bitand(po.dplt,64)
if bitand(po.dplt,1)
figure;
end
fp=fx.*conj(fx);
imagesc(((0:nft-1)*ni+(nw+1)/2)/fs,(0:nff-1)*fs*0.001/nf,10*log10(max(fp,max(fp(:))*1e-6))');
axhandle(end+1)=gca;
hanc= colorbar;
set(get(hanc,'ylabel'),'String','dB');
axis('xy');
title('Input Spectrogram');
xlabel('Time (s)');
ylabel('Frequency (kHz)');
end
[mbk,ffm]=melbankm(po.fbin,nf,fs,po.fmin/fs,min(po.fmax/fs+(po.fmax==0),0.5),po.fwin);
switch [po.fpow po.ppow]
case 'aa'
px=abs(fx)*mbk'; % amplitude domain filtering
case {'ap','al'}
px=(abs(fx)*mbk').^2; % amplitude domain filtering
case 'pa'
px=sqrt((fx.*conj(fx))*mbk'); % power domain filtering
case {'pp','pl'}
px=(fx.*conj(fx))*mbk'; % power domain filtering
case 'ca'
px=abs(fx*mbk'); % complex domain filtering
case {'cp','cl'}
px=fx*mbk'; % complex domain filtering
px=px.*conj(px); % convert to power
end
if po.ppow=='l'
px=log(max((px),max(px(:))*logth)); % clip before log
end
if bitand(po.dplt,128)
if bitand(po.dplt,1)
figure;
end
switch po.ppow
case 'a'
imagesc(((0:nft-1)*ni+(nw+1)/2)/fs,ffm/1000,20*log10(max(px,max(px(:))*1e-3))');
case 'p'
imagesc(((0:nft-1)*ni+(nw+1)/2)/fs,ffm/1000,10*log10(max(px,max(px(:))*1e-6))');
case 'l'
imagesc(((0:nft-1)*ni+(nw+1)/2)/fs,ffm/1000,max(px*10/log(10),max(px(:))*10/log(10)-60)');
end
axhandle(end+1)=gca;
hanc= colorbar;
set(get(hanc,'ylabel'),'String','dB');
axis('xy');
title('Mel Spectrogram');
xlabel('Time (s)');
ylabel('Frequency (k-mel)');
end
npf=length(ffm); % number of mel filters
mni=ceil(po.pinc*fs/ni); % frame increment in spectral frames
mnw=mni*po.povl; % window length
mnf=ceil(max(mnw,po.ppad*fs/ni)); % FFT length: pad with zeros
if po.prnd
mnf=2^nextpow2(mnf); % round up FFT length to next power of 2
else
mnf=round(mnf);
end
nmt=fix((nft-mnw+mni)/mni); % number of modulation spectrum frames
ix=repmat((1:mnw)',1,nmt)+repmat((0:nmt-1)*mni,mnw,1); % time index for all modumation spectrum frames
mx=rfft(reshape(px(ix(:),:),mnw,nmt*npf),mnf,1); % find modulation spectrum
% nmm=size(mx,1); % number of modulation spectrum bins [not needed]
[qbk,qqm]=melbankm(po.mbin,mnf,100*fs/ni,po.mmin*ni/fs,min(po.mmax*ni/fs+(po.mmax==0),0.5),po.mwin); % multiply frq by 100 to make it alsmost log
nqq=length(qqm);
switch po.mpow
case 'a'
qx=reshape(qbk*abs(mx),nqq,nmt,npf);
case 'p'
qx=reshape(qbk*(mx.*conj(mx)),nqq,nmt,npf);
end
switch [po.mpow po.qpow]
case 'aa'
qx=reshape(qbk*abs(mx),nqq,nmt,npf); % amplitude domain filtering
case {'ap','al'}
qx=reshape(qbk*abs(mx),nqq,nmt,npf).^2; % amplitude domain filtering + power out
case 'pa'
qx=sqrt(reshape(qbk*(mx.*conj(mx)),nqq,nmt,npf)); % power domain filtering + amp out
case {'pp','pl'}
qx=reshape(qbk*(mx.*conj(mx)),nqq,nmt,npf); % power domain filtering
end
if po.qpow=='l'
qx=log(max((qx),max(qx(:))*logth)); % clip before log
end
tt=((1+mnw*ni+nw-ni)/2+(0:nmt-1)*mni*ni)/fs; % time axis of output frames
if bitand(po.dplt,256) && (~bitand(po.dplt,4) || po.qdcq>0 || po.qdcp>0)
if bitand(po.dplt,1)
figure;
end
switch po.qpow
case 'a'
dqx=20*log10(max(qx,max(qx(:))*1e-3));
case 'p'
dqx=10*log10(max(qx,max(qx(:))*1e-6));
case 'l'
dqx=max(qx*10/log(10),max(qx(:))*10/log(10)-60);
end
dqx(end+1,:,:)=max(dqx(:)); % insert a border
dqx=reshape(permute(dqx,[2,1,3]),nmt,(nqq+1)*npf);
ffq=ffm(1)+((0:(nqq+1)*npf)-(nqq-1)/2)*(ffm(2)-ffm(1))/(nqq+1); % mel frequencies
imagesc(tt,ffq/1000,dqx');
axhandle(end+1)=gca;
hanc= colorbar;
set(get(hanc,'ylabel'),'String','dB');
axis('xy');
title('Modulation Spectrogram');
xlabel('Time (s)');
ylabel('Frequency (k-mel)');
end
ndq=nqq; % number of coefficients to use in the q direction
if po.qdcq
dx=reshape(rdct(reshape(qx,nqq,nmt*npf)),nqq,nmt,npf); % take dct in q direction
ndq=min(ndq,po.dncq+1); % "+1" to include the 0'th coefficient
else
dx=qx;
end
ndf=npf; % number of coefficients to use in the p direction
if po.qdcp
dx=permute(reshape(rdct(reshape(permute(qx,[3,1,2]),npf,nqq*nmt)),npf,nqq,nmt),[2 3 1]); % take dct in p direction
ndf=min(ndf,po.dncp+1); % "+1" to include the 0'th coefficient
elseif po.ddep % calculate the frequency derivative
nv=po.ddnp;
vv=(-nv:nv)*-3/(nv*(nv+1)*(2*nv+1)*(ffm(2)-ffm(1)));
dxdp=filter(vv,1,dx,[],3);
dxdp=dxdp(:,:,[repmat(2*nv+1,1,nv) 2*nv+1:npf repmat(npf,1,nv)]); % replicate filter outputs at ends
end
if po.ddet % calculate the time derivative
nv=po.ddnt;
vv=(-nv:nv)*-3/(nv*(nv+1)*(2*nv+1)*(tt(2)-tt(1)));
dxdt=filter(vv,1,dx,[],2);
dxdt=dxdt(:,[repmat(2*nv+1,1,nv) 2*nv+1:nmt repmat(nmt,1,nv)],:); % replicate filter outputs at ends
end
nqj=ndq-(po.dzcq==0);
nqk=nqj+ndq*(po.ddep+po.ddet);
npk=ndf-(po.dzcp==0);
c=zeros(nqk,npk,nmt);
c(1:nqj,:,:)=permute(dx(1+ndq-nqj:ndq,:,1+ndf-npk:ndf),[1,3,2]); % base coefficients
if bitand(po.dplt,512)
if bitand(po.dplt,1)
figure;
end
ffx=repmat(mel2frq(ffm(:)),1,nqq)/1000;
qqx=repmat(mel2frq(qqm(:)')/100,npf,1);
plot(qqx,ffx,'xb');
axis([[qqx(1) qqx(end)]*[1.1 -0.1; -0.1 1.1] [ffx(1) ffx(end)]*[1.1 -0.1; -0.1 1.1]]);
title('Frequency bin centres');
xlabel(sprintf('%.1f : %.1f : %.1f mod-mel = Modulation Frequency (Hz)',qqm(1)/100,(qqm(2)-qqm(1))/100,qqm(end)/100));
ylabel(sprintf('%.0f : %.0f : %.0f mel = Frequency (kHz)',ffm(1),ffm(2)-ffm(1),ffm(end)));
end
if bitand(po.dplt,4)
if bitand(po.dplt,1)
figure;
end
dqx=dx(1+ndq-nqj:ndq,:,1+ndf-npk:ndf);
dqxmx=max(abs(dqx(:)));
dqxge=dqx>=0;
dbfact=2-(po.qpow=='p'); % 2=amplitude, 1=power
dqxa=max(abs(dqx),dqxmx*10^(-6/dbfact)); % clip at -60 dB
dqxmn=min(dqxa(:));
dblab='';
if(mean(dqxa(:)>dqxmn+po.cent*(dqxmx-dqxmn)))<po.cchk
dboff=abs(round(dbfact*10*log10(dqxmn)));
dblab='{\pm}dB';
if ~all(dqxge(:)) % not all positive
dqxa=dqxa/dqxmn; % force log to be always positive
if dqxmn>1 && dboff~=0
dblab=sprintf('{\\pm}dB - %d',dboff);
else
dblab=sprintf('{\\pm}dB + %d',dboff);
end
else
dblab='dB';
end
dqx=dbfact*10*log10(dqxa).*(2*dqxge-1);
end
dqx(end+1,:,:)=max(dqx(:)); % insert a border
dqx=reshape(permute(dqx,[2,1,3]),nmt,(nqj+1)*npk);
ffq=ffm(1)+((0:(nqj+1)*npf)-(nqj-1)/2)*(ffm(2)-ffm(1))/(nqj+1); % mel frequencies
imagesc(tt,ffq/1000,dqx');
axhandle(end+1)=gca;
hanc= colorbar;
set(get(hanc,'ylabel'),'String',dblab);
axis('xy');
if po.qdcq
title('Modulation spectrum DCT');
else
title('Modulation spectrum');
end
xlabel('Time (s)');
if po.qdcp
ylabel('Quefrency (k-mel^{-1})');
else
ylabel('Frequency (k-mel)');
end
end
if po.ddep
c(nqj+1:nqj+ndq,:,:)=permute(dxdp(1:ndq,:,1+ndf-npk:ndf),[1,3,2]); % add on p delta
if bitand(po.dplt,8)
if bitand(po.dplt,1)
figure;
end
dqx=dxdp(1:ndq,:,1+ndf-npk:ndf);
dqxmx=max(abs(dqx(:)));
dqxge=dqx>=0;
dbfact=2-(po.qpow=='p'); % 2=amplitude, 1=power
dqxa=max(abs(dqx),dqxmx*10^(-6/dbfact)); % clip at -60 dB
dqxmn=min(dqxa(:));
dblab='';
if(mean(dqxa(:)>dqxmn+po.cent*(dqxmx-dqxmn)))<po.cchk
dboff=abs(round(dbfact*10*log10(dqxmn)));
dblab='{\pm}dB';
if ~all(dqxge(:)) % not all positive
dqxa=dqxa/dqxmn; % force log to be always positive
if dqxmn>1 && dboff~=0
dblab=sprintf('{\\pm}dB - %d',dboff);
else
dblab=sprintf('{\\pm}dB + %d',dboff);
end
else
dblab='dB';
end
dqx=dbfact*10*log10(dqxa).*(2*dqxge-1);
end
dqx(end+1,:,:)=max(dqx(:)); % insert a border
dqx=reshape(permute(dqx,[2,1,3]),nmt,(ndq+1)*npk);
ffq=ffm(1)+((0:(ndq+1)*npf)-(ndq-1)/2)*(ffm(2)-ffm(1))/(ndq+1); % mel frequencies
imagesc(tt,ffq/1000,dqx');
axhandle(end+1)=gca;
hanc= colorbar;
set(get(hanc,'ylabel'),'String',dblab);
axis('xy');
if po.qdcq
title('Modulation spectrum DCT = freq derivative');
else
title('Modulation spectrum = freq derivative');
end
xlabel('Time (s)');
if po.qdcp
ylabel('Quefrency (k-mel^{-1})');
else
ylabel('Frequency (k-mel)');
end
end
end
if po.ddet
c(nqk-ndq+1:nqk,:,:)=permute(dxdt(1:ndq,:,1+ndf-npk:ndf),[1,3,2]); % add on t delta
if bitand(po.dplt,16)
if bitand(po.dplt,1)
figure;
end
dqx=dxdt(1:ndq,:,1+ndf-npk:ndf);
dqxmx=max(abs(dqx(:)));
dqxge=dqx>=0;
dbfact=2-(po.qpow=='p'); % 2=amplitude, 1=power
dqxa=max(abs(dqx),dqxmx*10^(-6/dbfact)); % clip at -60 dB
dqxmn=min(dqxa(:));
dblab='';
if(mean(dqxa(:)>dqxmn+po.cent*(dqxmx-dqxmn)))<po.cchk
dboff=abs(round(dbfact*10*log10(dqxmn)));
dblab='{\pm}dB';
if ~all(dqxge(:)) % not all positive
dqxa=dqxa/dqxmn; % force log to be always positive
if dqxmn>1 && dboff~=0
dblab=sprintf('{\\pm}dB - %d',dboff);
else
dblab=sprintf('{\\pm}dB + %d',dboff);
end
else
dblab='dB';
end
dqx=dbfact*10*log10(dqxa).*(2*dqxge-1);
end
dqx(end+1,:,:)=max(dqx(:)); % insert a border
dqx=reshape(permute(dqx,[2,1,3]),nmt,(ndq+1)*npk);
ffq=ffm(1)+((0:(nqj+1)*npf)-(nqj-1)/2)*(ffm(2)-ffm(1))/(nqj+1); % mel frequencies
imagesc(tt,ffq/1000,dqx');
axhandle(end+1)=gca;
hanc= colorbar;
set(get(hanc,'ylabel'),'String',dblab);
axis('xy');
if po.qdcq
title('Modulation spectrum DCT = time derivative');
else
title('Modulation spectrum = time derivative');
end
xlabel('Time (s)');
if po.qdcp
ylabel('Quefrency (k-mel^{-1})');
else
ylabel('Frequency (k-mel)');
end
end
end
if po.unit % frequency units are in mels
ff=ffm;
qq=qqm/100;
else
ff=mel2frq(ffm);
qq=mel2frq(qqm)/100;
end
if length(axhandle)>1
if ~bitand(po.dplt,32+64)
linkaxes(axhandle)
else
linkaxes(axhandle,'x')
end
end