Error in c# connecting between matlab and C#

Hi, Please anyone can solve this error .In connecting between C# and matlab . I don't usderstand the error .

See the end of this message for details on invoking just-in-time (JIT) debugging instead of this dialog box.

************ Exception Text ************ System.Exception:

... MWMCR::EvaluateFunction error ... Error using ==> vertcat CAT arguments dimensions are not consistent..

   at MathWorks.MATLAB.NET.Utility.MWMCR.EvaluateFunction(String functionName, Int32 numArgsOut, Int32 numArgsIn, MWArray[] argsIn)
   at MathWorks.MATLAB.NET.Utility.MWMCR.EvaluateFunction(String functionName, MWArray[] argsIn)
   at com.speechR.SpeechR.Recognition(MWArray speechIn, MWArray silence)
Thanks a lot:)
Nada Gamal

Answer 1

[Kaustubha Govind]

It looks like the inputs that you are providing are causing a "vertcat CAT arguments dimensions are not consistent" error from MATLAB. It is hard to tell without looking at your code, but you may have a call to VERTCAT, or a statement that performs concatenation using something like:

   out = [in1 in2];

Do you have the original MATLAB code? If yes, try constructing the same inputs in MATLAB and invoke the function to debug.

[Nada Gamal]

Hi,

Thanks for you reply .

C# code:

public String recognition()

{

String[] s ={ "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine", "Ten", "Yes", "No", "Hello", "Open", "Close", "Start", "Stop", "Dial", "On", "Off" };

SpeechR speech = new SpeechR();

// string path = Application.StartupPath;

WaveReader wr1 = new WaveReader(File.OpenRead( @"C:\SpeechData\Nada1\1_12.wav"));

IntPtr format = wr1.ReadFormat();

byte[] data1 = wr1.ReadData();

wr1.Close();

WaveReader wr2 = new WaveReader(File.OpenRead(@"C:\SpeechData\silen.wav"));

IntPtr format2 = wr2.ReadFormat();

byte[] data2 = wr2.ReadData();

wr2.Close();

MWArray output = (MWArray)speech.Recognition((MWNumericArray)data1, (MWNumericArray)data2);

String str="";

for (int i = 1; i <= s.Length; i++)

{

if ((MWNumericArray)i == output)

{

str = s[i];

}

}

return str;

}

And Matlab Code is :

function[Modal]=Recognition(speechIn,silence)

% clear all;

% close all;

ncoeff = 13; %Required number of mfcc coefficients

N = 20; %Number of words in vocabulary

k = 3; %Number of nearest neighbors to choose

fs=16000; %Sampling rate

duration1 = 0.15; %Initial silence duration in seconds

duration2 = 2; %Recording duration in seconds

G=2; %vary this factor to compensate for amplitude variations

NSpeakers = 6; %Number of training speakers

% fprintf('Press any key to start %g seconds of speech recording...', duration2);

% pause;

% silence = wavrecord(duration1*fs, fs);

% fprintf('Recording speech...');

% speechIn = wavrecord(duration2*fs, fs); % duration*fs is the total number of sample points

% fprintf('Finished recording.\n');

% fprintf('System is trying to recognize what you have spoken...\n');

speechIn1 = [silence;speechIn]; %pads with 150 ms silence

speechIn2 = speechIn1.*G;

speechIn3 = speechIn2 - mean(speechIn2); %DC offset elimination

speechIn = nreduce(speechIn3,fs); %Applies spectral subtraction

rMatrix1 = mfccf(ncoeff,speechIn,fs); %Compute test feature vector

rMatrix = CMN(rMatrix1); %Removes convolutional noise

Sco = DTWScores(rMatrix,N); %computes all DTW scores

[SortedScores,EIndex] = sort(Sco); %Sort scores increasing

K_Vector = EIndex(1:k); %Gets k lowest scores

Neighbors = zeros(1,k); %will hold k-N neighbors

%Essentially, code below uses the index of the returned k lowest scores to

%determine their classes

for t = 1:k

u = K_Vector(t);

for r = 1:NSpeakers-1

if u <= (N)

break

else u = u - (N);

end

end

Neighbors(t) = u;

end

%Apply k-Nearest Neighbor rule

Nbr = Neighbors

%sortk = sort(Nbr);

[Modal,Freq] = mode(Nbr); %most frequent value

%Word = strvcat('One','Two','Three','Four','Five','Six','Seven','Eight','Nine','Ten','Yes','No','Hello','Open','Close','Start','Stop','Dial','On','Off');

% if mean(abs(speechIn)) < 0.01

% fprintf('No microphone connected or you have not said anything.\n');

% elseif ((k/Freq) > 2) %if no majority

% fprintf('The word you have said could not be properly recognised.\n');

% else

% fprintf('You have just said %s.\n',Word(Modal,:)); %Prints recognized word

% c=Word(Modal,:); %match the number of file with word

%end

Thanks a lot

Nada Gamal :)

[Kaustubha Govind]

My best bet is that the error comes from:

speechIn1 = [silence;speechIn];

If silence and speechIn have different sizes, then this works only if they are both column vectors. Not sure if they are passed in as row vectors from C# - you could try adding the following lines to the top of the MATLAB function, recompile, and try this again:

% Convert silence and speechIn to column vectors

silence = reshape(silence, [numel(silence) 1]);

speechIn = reshape(speechIn, [numel(speechIn) 1]);