Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
Introduction
Some times it is required that we build a shared library (DLL) from an m-file. M-files are functions that are written in Matlab editor and can be used from Matlab command prompt. In m-files, we employ Matlab built-in functions or toolbox functions to compute something. In my past articles, I showed you some ways to use Matlab engine (vis. API, C++ class or Matlab engine API) for employing Matlab built-in functions, but what about functions that we develop? How can we use them in VC? Is there any interface? This article shows you an idea to employ your own Matlab functions.
OpenSVM was developped under Visual C++ 6.0 SP6,
You can open the workspace file(*.dsw) in the opensvm-src folder.
The folder include the svm.h and svm.cpp which in the libsvm (Copyright (c) 2000-2007 Chih-Chung Chang and Chih-Jen Lin All rights reserved) in the opensvm-src\libsvm.
However, the files svm.h and svm.cpp codes were copied/merged into stdafx.h and stdafx.cpp in order to support the development, and OpenSVM still use other codes of libsvm.
So you can see the libsvm package in the source package.
You can open and build it with Visual C++ 6.0.
Note: the problems must be in LIBSVM format.
OpenSVM project page:
http://sourceforge.net/projects/opensvm
If you had any question, please mail to:
cloudbyron@gmail.com
This SDK allows to integrate a syncml stack in a C++ application on a
variety of platforms. Currently, Windows, WinMobile and Linux are
actively supported, but you can easily build it on other Unixes or other
mobile/embedded platforms.
This project aim was to build wireless software modem for data communication
between two computers using an acoustic interface in the voice frequency range (20Hz–
20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz –
20,000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz –
16,000Hz). The test files used as information files were text files.
This goal was attained both in an incoherent scheme and in a coherent scheme.
Build under Matlab code, our modem uses OFDM (orthogonal frequency division
multiplexing) modulation, synchronization by LMS sequence, channel estimation (no
equalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of
2 or 4. To optimize the probability of error, these symbols were mapped using Gray
mapping.
Report
Back in 2002, the 6502 disappeared out of all catalogues.
Wanted to know, if it s possible to build a binary compatible CPU with the things I had in the drawer:
74LS parts, 27C512 EPROMs and a fast static RAM from an old 80386 motherboard.
Now here the results.
Note, that the Bus timing is different from the 6502.
Sensing in autonomous vehicles is a growing field due to a wide array of military and reconnaissance applications. The Adaptive Communications and Signals Processing Group (ACSP) research group at Cornell specializes in studying various aspects of autonomous vehicle control. Previously, ACSP has examined video sensing for autonomous control. Our goal is to build on their previous research to incorporate audio source tracking for autonomous control.
This file contains a summary of what you will find in each of the files that
make up your ac_iocard application.
ac_iocard.dsp
This file (the project file) contains information at the project level and
is used to build a single project or subproject. Other users can share the
project (.dsp) file, but they should export the makefiles locally.
ac_iocard.cpp
This is the main application source file.
The Little Green BATS is the first and so far only Dutch team in the 3D simulation league. We are a group of graduate students from the department of AI at the University of Groningen, The Netherlands. Our team name is derived from the fact that the first 3D agents in the league were balls and from the very philosophical observation that Balls Are Truly Spheres (BATS). This abbreviation reminded us of our favorite song Little Green Bag by The George Baker Selection and so the whole team name was born.
We entered the competition for the first time at the 10th edition of RoboCup at Bremen, Germany. unfortunately our hard work didn t pay off that time: already in the second round we got eliminated. However, after this we had a good base to build upon and the good time we had at the event and the nice community inspired us to continue and work hard for another year. This turned out to be defiantly worth it, because in 2007 in Atlanta we managed to become vice world champions!
