How to Run Praat from Visual C++


Following are the steps for using Praat with Visual C++:

  1. Download Praat from http://www.fon.hum.uva.nl/praat/praat4216_winsit.exe

  1. Download SendPraat from http://www.fon.hum.uva.nl/praat/sendpraat.exe

  1. Extract both Praat and Sendpraat in to location e.g. D:\praat
It should look some thing like this:
D:\praat\praat.exe
D:\praat\sendpraat.exe

  1. Now Right click My Computer icon and click Properties or Press Windows+Break Button together. A “System Properties” Dialog will appear. Select Tab “Advanced”. At the bottom there is button “Environment Variables”, click it. A window appears with two frames. In the “System variables” frame double click the Variable namely “Path”. In the “Variable value” textbox append “;D:\praat\” (don’t forget to use ; to separate from previous path).

  1. Restart your computer

  1. After doing this open “Command Prompt” by typing “cmd” in Start->Run. On the console Type “praat.exe” and praat should open, similarly type sendpraat.exe and sendpraat message should appears. This shows that praat had been added successfully to the path variable and it can be executed by just typing praat at the Command Prompt.

  1. Type the following code in Visual C++ , can be typed under the button press:

WinExec("praat.exe",SW_SHOWMINNOACTIVE);
    
     CString command = "";
    
     command = "sendpraat praat \"Open long sound file... c:\\Windows\\Media\\ding.wav\"";

     WinExec( command, SW_SHOW );//SW_HIDE,SW_SHOWMINNOACTIVE

  1. If the script is unable to Run you can see Message.txt. Type “praat” in Start->Run and open Message.txt file to view the script which has been sent to praat. Remember that the script is Case Sensitive. You can also write this script inside praat to check it. For this open Praat. From “Control” menu, click “New Praat script”. Type the script and Press Run to see whether the script you are trying to send is valid or not.

In the same manner you can run multiple script commands as well by using commands like above multiple times.

Comments

Post a Comment

Popular posts from this blog

Imote2 with Camera setup IMB400 over Ubuntu 9.10/10.04

Imote2 Camera driver for TinyOS is available in contribution directory of  TinyOS 2.x . It goes by the name of  tinyos-2.x-contrib . Its location within is  tinyos-2.x-contrib/intelmote2/apps I am assuming that you have tinyos-2.1.1 installed, this is required to have Camera Driver build. If you dont have it installed... than better have it done by invoking: apt-get install tinyos-2.1.1 From here on to get the driver working,  the procedure is as follows: Browse to opt directory. cd /opt The recommended way to get the source of tinyos-2.x and tinyos-2.x-contribis is through CVS. echo "Getting TinyOS 2.x and TinyOS 2.x-contrib from CVS" echo "Press enter when asked for password." cvs -d:pserver:anonymous@tinyos.cvs.sourceforge.net:/cvsroot/tinyos login cvs -z3 -d:pserver:anonymous@tinyos.cvs.sourceforge.net:/cvsroot/tinyos co -P tinyos-2.x cvs -z3 -d:pserver:anonymous@tinyos.cvs.sourceforge.net:/cvsroot/tinyos co -P tinyos-2.x-contrib --OR--  e...
Read more

Artificial Intelligence - Weak AI vs Strong AI

Source:  http://www.faculty.umb.edu/gary_zabel/Courses/Bodies,%20Souls,%20and%20Robots/Texts/Artificial%20Intelligence%20.htm Artificial Intelligence As a theory in the philosophy of mind, artificial intelligence (or AI) is the view that human cognitive mental states can be duplicated in computing machinery. Accordingly, an intelligent system is nothing but an information processing system. Discussions of AI commonly draw a distinction between weak and strong AI. Weak AI holds that suitably programmed machines can simulate human cognition. Strong AI, by contrast, maintains that suitably programmed machines are capable of cognitive mental states. The weak claim is unproblematic, since a machine which merely simulates human cognition need not have conscious mental states. It is the strong claim, though, that has generated the most discussion, since this does entail that a computer can have cognitive mental states. In addition to the weak/strong distinction, it is also ...
Read more

Tensorflow - Simplest Gradient Descent using GradientDescentOptimizer

Below is the code to find the minimum possible value of weight (w) such that the outcome of equation is closest to 0, using Gradient Descent method. These weights are multiplied with input (x) to compute cost, thus minimizing it. The equation is below... w 2 - 10 w + 25 ---------------------- (i) i.e. ( w - 5 ) 2 Thus, the coefficients from (i) would be 1, -10 and 25 import numpy as np import tensorflow as tf coefficients = np.array([[ 1 ], [ - 10 ], [ 25 ]]) # try 1, -20, 100 -- line 4 w = tf.Variable([ 0 ], dtype = tf.float32) x = tf.placeholder(tf.float32, [ 3 , 1 ]) cost = (x[ 0 ][ 0 ] * w ** 2 ) + (x[ 1 ][ 0 ] * w) + x[ 2 ][ 0 ] # (w-5)^2 train = tf.train.GradientDescentOptimizer( 0.01 ).minimize(cost) init = tf.global_variables_initializer() with tf.Session() as session: session.run(init) print (session.run(w)) for i in range ( 1000 ): session.run(train, feed_dict = {x:coefficients}) print (session.run(w)) T...
Read more