Singly Linked list with all operations in C++

Linked list with all operations. Insert, Delete items at various position.

#include <iostream.h>

#include <conio.h>

//singly link list

class linklist

{

Dynamic Implementation of Queue in C++ using linked list

Dynamic Implementation of Queue in C++ using linked list

#include <iostream.h>

#include <conio.h>

class queue

{

    struct node

    {

Dynamic Implementation of Stack in C++

Dynamic Implementation of Stack in C++ using linked list

#include <iostream.h>

#include <conio.h>

class stack

{

Recursion : Tower of Hanoi in C++

Tower of Hanoi by recursion

#include <iostream>

using namespace std;

int main()

{

C++ implementation of Circular Queue

C++ implementation of Circular Queue

#include <iostream.h>

#include <conio.h>

#define size 10

class queue

{

C++ implementation of front end fix and rear end vary queue

C++ implementation of front end fix and rear end vary queue

#include <iostream.h>

#include <conio.h>

#define size 10

class queue

{

C++ implementation of front and rear end varying queue

C++ implementation of front and rear end varying queue

#include <iostream.h>

#include <conio.h>

#define size 10

class queue

{

C++ implementation of top varying stack

C++ implementation of top varying stack

#include <iostream.h>

#include <conio.h>

#define size 10

using namespace std;

class stack

{

C++ implementation of fixed top stack

C++ implementation of fixed top stack

#include<iostream.h>

#include<conio.h>

#definesize 10

class stack

{

    int tos;

    int item[size];

    int pos;

List of good references for Speech / Speaker Recognition Project

Here is list of good references , that we followed for our final project. These  are also included in reference section of final report. 
After we decided to do final project on joint speech and speaker recognition, we did a lot of research and downloaded almost 2 GB of articles, lecture notes and etc. But, these article(around 30 MB) were really useful to us.
All of them are available on Web for free. Just google it.

1. Assignment 3: GMM Based Speaker Identification EN2300 Speech Signal Processing, [ www.kth.se/polopoly_fs/1.41342!assignment_03.pdf]
2. Conrad Sanderson, Automatic Person Verification Using Speech and Face Information - A Dissertation Presented to The School of Microelectronic Engineering Faculty of Engineering and Information Technology, Griffith University, August 2002, [revised February 2003].
3. Douglas A Reynolds and Richard C Rose, Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Transactions on Speech and Audio Processing, 3(1):72–83, 1995.
4. G. Saha, Sandipan Chakroborty, Suman Senapati , A New Silence Removal and Endpoint Detection Algorithm for Speech and Speaker Recognition Applications, Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Khragpur, Kharagpur, India.
5. J P Campbell, Jr. Speaker recognition: A tutorial. Proc. IEEE, 85(9):1437–1462, 1997.
6. K.R. Aida–Zade, C. Ardil and S.S. Rustamov, Investigation of Combined use of MFCC and LPC Features in Speech Recognition Systems, World Academy of Science, Engineering and Technology, 2006
7. L. R. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition”, vol-77, no. 2, pp. 257-286, 1989.
8. Lasse L Mølgaard, Kasper W Jørgensen, Speaker Recognition: Special Course; IMM-DTU; 2005
9. Mohamed Faouzi  BenZeghibaa , Joint Speech and Speaker Recognition,IDIAP  Research  Report, 2005.
10. Robin Teo Choon Guan @ Myo Thant, Majority Rule- Based Non-Intrusive User Authentication by Speech: Part 2 (Speaker Verification), Thesis, School of Science and Technology, Sim University,2009.
11. Shi-Huang Chen and Yu-Ren Luo , Speaker Verification Using MFCC and Support Vector Machine, Proceedings of the International Multi Conference of Engineers and Computer Scientists 2009, vol – I, IMECS 2009.
12. Tomi Kinnunen , Spectral Features for Automatic Text-Independent Speaker Recognition- Licentiate’s Thesis, University of Joensuu, Department of Computer Science, Finland, 2003.
13. Waleed H. Abdulla and Nikola K. Kasabov, The Concepts of Hidden Markov Model in Speech Recognition, Knowledge Engineering Lab, Department of Information Science, University of Otago,New Zealand, 1999.