Selection sort C C++ source code

Selection sort C C++ source code

//selection sort
#include <iostream.h>
void selectionSort(int *array,int length)//selection sort function 
{
    int i,j,min,minat;
    for(i=0;i<(length-1);i++)
    {
        minat=i;
        min=array[i];

      for(j=i+1;j<(length);j++) //select the min of the rest of array
      {
          if(min>array[j])   //ascending order for descending reverse
          {
              minat=j;  //the position of the min element 
              min=array[j];
          }
      }
      int temp=array[i] ;
      array[i]=array[minat];  //swap 
      array[minat]=temp;      
    }
}

void printElements(int *array,int length) //print array elements
{
    int i=0;
    for(i=0;i<10;i++)
        cout<<array[i]<<endl;
}
void main()
{

    int a[]={9,6,5,23,2,6,2,7,1,8};   // array to sort 
    selectionSort(a,10);                 //call to selection sort  
    printElements(a,10);               // print elements 
}

Java iterate through map, hashmap - working source code

Iterating through Map in Java - working efficient source code 

Map<String, Object> map = ...;

The solution uses map.keySet(), map.values(), and map.entrySet().

Text Prompted Remote Speaker Authentication : Joint Speech and Speaker Recognition/Verification System :: Major Project ::: Introduction

Biometrics is, in the simplest definition, something you are. It is a physical characteristic unique to each individual such as fingerprint, retina, iris, speech. Biometrics has a very useful application in security; it can be used to authenticate a person’s identity and control access to a restricted area, based on the premise that the set of these physical characteristics can be used to uniquely identify individuals.

Speech signal conveys two important types of information, the primarily the speech content and on the secondary level, the speaker identity. Speech recognizers aim to extract the lexical information from the speech signal independently of the speaker by reducing the inter-speaker variability. On the other hand, speaker recognition is concerned with extracting the identity of the person speaking the utterance. So both speech recognition and speaker recognition system is possible from same voice input.

Desired Output of the Combined System

Text Prompted Remote Speaker Authentication is a voice biometric system that authenticates a user before permitting the user to log into a system on the basis of the user’s input voice. It is a web application. Voice signal acquisition and feature extraction is done on the client. Training and Authentication task based on the voice feature obtained from client side is done on Server. The authentication task is based on text-prompted version of speaker recognition, which incorporates both speaker recognition and speech recognition. This joint implementation of speech and speaker recognition includes text-independent speaker recognition and speaker-independent speech recognition. Speaker Recognition verifies whether the speaker is claimed one or not while Speech Recognition verifies whether or not spoken word matches the prompted word.