Speech recognition Coding

somebody please tell me how do i go about speech recognition coding.

[eugene chen]

example here: http://www.theengineeringprojects.com/2016/02/speech-recognition-using-correlation-matlab.html

[gayathri saravanan]

https://in.mathworks.com/matlabcentral/fileexchange/10143-mmse-stsa

[Sourav Newatia]

Search on google

[SUHAS]

i need the matlab coding for speech recogniton

Answer 1

[Raviteja]

First you need fundamentals of speech processing. Witch includes speech signal basic sounds and features. DSP techniques like, FFT, Windowing,STFT.

Some basic signal processing tasks like finding energy, spectrum of speech, autocorrelation, zero crossing detection, silence speech removal techniques etc. Then feature extraction from speech signals.

Feature extraction (LPC,MFCC). Then classification process of feature vectros by VQ.

Then statistical modelling like HMM, GMM.

You need to go following books "Digital processing of speech signals" by Rabinar "Fundamentals of speech recognition" by Rabinar And good books for DSP.

Mostly you read IEEE papers.

Answer 2

[Michelle Hirsch]

Is your goal to have speech recognition running in MATLAB, or to actually learn how to implement the algorithm?

If you just want to be able to use speech recognition in MATLAB, and you are running on Windows, you can pretty easily just incorporate the existing Windows capabilities using the MATLAB interface to .NET.

Here's some code my friend Jiro happened to pass around just the other day for this exact task. (Paste into a file in the editor and save).

function rec = speechrecognition

% Add assembly
NET.addAssembly('System.Speech');

% Construct engine
rec = System.Speech.Recognition.SpeechRecognitionEngine;
rec.SetInputToDefaultAudioDevice;
rec.LoadGrammar(System.Speech.Recognition.DictationGrammar);

% Define listener callback
addlistener(rec, 'SpeechRecognized', @recognizedFcn);

% Start recognition
rec.RecognizeAsync(System.Speech.Recognition.RecognizeMode.Multiple);

% Callback
function recognizedFcn(obj, e)

% Get text
txt = char(e.Result.Text);

% Split into words
w = regexp(txt, '\s', 'split');
if length(w) > 1
    % Look for the occurrence of the phrase "search for"
    idx = find(strcmp(w(1:end-1), 'search') & ...
        strcmp(w(2:end), 'for'), 1, 'first');
    if ~isempty(idx) && length(w) >= idx+2
        % The words after are the search terms
        searchTerm = sprintf('%s+', w{idx+2:end});
        searchTerm(end) = '';

          % Search on the web
          web(['http://www.google.com/search?q=', searchTerm]);
          fprintf(2, 'search for "%s"\n', strrep(searchTerm, '+', ' '));
      else
          %disp(txt)
      end
  elseif length(w) == 1 && strcmpi(w{1}, 'stop')
      obj.RecognizeAsyncStop;
      obj.delete;
      %disp(txt);
      disp('Stopping Speech Recognition. Thank you for using!');
  else
      %disp(txt);
  end

[Benjamin Škafar]

Hello. Do you know on which version of OS and .NET whas this code written? I have this error using Jiro's code:

Error using ==> speechrecognition at 8

Message: Cannot find the requested data item, such as a data key or value.

Source: System.Speech

HelpLink:

Running on windows 7, .NET Framework 4

Thanks for your time.

B.Š.

[Frandy]

Hello I'm working on a project that involves using speech recognition. Now I tried to use your code but I am not sure on the actual process in which to have the code actually work. Do you mind explain?

[Steven Dakin]

Some operational example code that uses this approach would be vey useful!

Answer 3

[Nada Gamal]

Hi Raviteja , I made all steps of speech recognition except of classification because i used Elcudien Distance and calculate the minium distance to the templates .And i have a problem now in how can i implement Hidden Markove model in speech recognition . i don't understand this algrothim . Thanks a lot :) Best Regards, Nada Gamal

[chan wei]

so do I!

Answer 4

[veni]

how to write the speech recognisation in matlab coding? how to record the speech in matlab?

[Walter Roberson]

See audiorecorder() to record the speech. http://www.mathworks.com/help/matlab/ref/audiorecorder.html

Answer 5

[Neha Tonpe]

function rec = speechrecognition
% Add assembly
NET.addAssembly('System.Speech');
% Construct engine
rec = System.Speech.Recognition.SpeechRecognitionEngine;
rec.SetInputToDefaultAudioDevice;
rec.LoadGrammar(System.Speech.Recognition.DictationGrammar);
% Define listener callback
addlistener(rec, 'SpeechRecognized', @recognizedFcn);
% Start recognition
rec.RecognizeAsync(System.Speech.Recognition.RecognizeMode.Multiple);
% Callback
function recognizedFcn(obj, e)
% Get text
txt = char(e.Result.Text);
% Split into words
w = regexp(txt, '\s', 'split');
if length(w) > 1
    % Look for the occurrence of the phrase "search for"
    idx = find(strcmp(w(1:end-1), 'search') & ...
        strcmp(w(2:end), 'for'), 1, 'first');
    if ~isempty(idx) && length(w) >= idx+2
        % The words after are the search terms
        searchTerm = sprintf('%s+', w{idx+2:end});
        searchTerm(end) = '';
        % Search on the web
        web(['http://www.google.com/search?q=', searchTerm]);
        fprintf(2, 'search for "%s"\n', strrep(searchTerm, '+', ' '));
    else
        %disp(txt)
    end
elseif length(w) == 1 && strcmpi(w{1}, 'stop')
    obj.RecognizeAsyncStop;
    obj.delete;
    %disp(txt);
    disp('Stopping Speech Recognition. Thank you for using!');
else
    %disp(txt);
end

Answer 6

[Lavuri]

function rec = speechrecognition
% Add assembly
NET.addAssembly('System.Speech');
% Construct engine
rec = System.Speech.Recognition.SpeechRecognitionEngine;
rec.SetInputToDefaultAudioDevice;
rec.LoadGrammar(System.Speech.Recognition.DictationGrammar);
% Define listener callback
addlistener(rec, 'SpeechRecognized', @recognizedFcn);
% Start recognition
rec.RecognizeAsync(System.Speech.Recognition.RecognizeMode.Multiple);
% Callback
function recognizedFcn(obj, e)
% Get text
txt = char(e.Result.Text);
% Split into words
w = regexp(txt, '\s', 'split');
if length(w) > 1
    % Look for the occurrence of the phrase "search for"
    idx = find(strcmp(w(1:end-1), 'search') & ...
        strcmp(w(2:end), 'for'), 1, 'first');
    if ~isempty(idx) && length(w) >= idx+2
        % The words after are the search terms
        searchTerm = sprintf('%s+', w{idx+2:end});
        searchTerm(end) = '';
        % Search on the web
        web(['http://www.google.com/search?q=', searchTerm]);
        fprintf(2, 'search for "%s"\n', strrep(searchTerm, '+', ' '));
    else
        %disp(txt)
    end
elseif length(w) == 1 && strcmpi(w{1}, 'stop')
    obj.RecognizeAsyncStop;
    obj.delete;
    %disp(txt);
    disp('Stopping Speech Recognition. Thank you for using!');
else
    %disp(txt);
end

Answer 7

[pathakunta]

First you need fundamentals of speech processing. Witch includes speech signal basic sounds and features. DSP techniques like, FFT, Windowing,STFT. Some basic signal processing tasks like finding energy, spectrum of speech, autocorrelation, zero crossing detection, silence speech removal techniques etc. Then feature extraction from speech signals. Feature extraction (LPC,MFCC). Then classification process of feature vectros by VQ. Then statistical modelling like HMM, GMM. You need to go following books "Digital processing of speech signals" by Rabinar "Fundamentals of speech recognition" by Rabinar And good books for DSP. Mostly you read IEEE papers.