static private List <User> LoadDataset(string datasetFileName)
{
//Get The dataset folder path.
var splittedPath = datasetFileName.Split('\\');
string folderPath = "";
for (int i = 0; i < splittedPath.Length - 1; i++)
{
folderPath += splittedPath[i] + '\\';
}
folderPath += "audiofiles\\";
//read the training samples files names
Dictionary <string, User> users = new Dictionary <string, User>();
StreamReader reader = new StreamReader(datasetFileName);
string line;
while ((line = reader.ReadLine()) != null)
{
string userName = line.Split('/')[0];
string fileName = line.Split('/')[1] + ".wav";
//check if user already exists, if not add an entry in the dictionary.
if (users.ContainsKey(userName) == false)
{
User user = new User();
user.UserTemplates = new List <AudioSignal>();
user.UserName = userName;
users.Add(userName, user);
}
AudioSignal audio;
string fullFileName = folderPath + userName + '\\' + fileName;
try
{
audio = openNISTWav(fullFileName);
}
catch (Exception)
{
audio = AudioOperations.OpenAudioFile(folderPath + userName + '\\' + fileName);
}
audio = AudioOperations.RemoveSilence(audio);
users[userName].UserTemplates.Add(audio);
}
reader.Close();
//move the users to a list for convenience reasons only.
List <User> usersList = new List <User>();
foreach (var user in users)
{
usersList.Add(user.Value);
}
return(usersList);
}
private void openToolStripMenuItem_Click(object sender, EventArgs e)
{
OpenFileDialog open = new OpenFileDialog();
if (open.ShowDialog() == DialogResult.OK)
{
isRecorded = false;
path = open.FileName;
//Open the selected audio file
signal = AudioOperations.OpenAudioFile(path);
// remove sielnce
AudioOperations.RemoveSilence(signal);
Sequence seq = AudioOperations.ExtractFeatures(signal);
seq_input = seq; /////*** seq_input initialize by open audio/////////
sz_input = seq_input.Frames.Length;
textBox2.Text = "";
textBox3.Text = "";
updateButtons();
}
}
private void btnIdentify_Click(object sender, EventArgs e)
{
/// <summary>
/// updating status label
/// </summary>
///
metroLabel1.Visible = true;
pruningToggle1.Visible = true;
labelStatus.Text = "Status: Identifying speaker and running DTW algorithm...";
List <User> test = new List <User>();
string cnt = "";// To choose a testcase
if (Testcase1_radioButton.Checked == true)
{
test = TestcaseLoader.LoadTestcase1Testing(@"C:\SpeakerID\Test Cases\Complete SpeakerID Dataset\TestingList.txt"); cnt = "1";
}
else if (Testcase2_radioButton.Checked == true)
{
test = TestcaseLoader.LoadTestcase2Testing(@"C:\SpeakerID\Test Cases\Complete SpeakerID Dataset\TestingList.txt"); cnt = "2";
}
else if (Testcase3_radioButton.Checked == true)
{
test = TestcaseLoader.LoadTestcase3Testing(@"C:\SpeakerID\Test Cases\Complete SpeakerID Dataset\TestingList.txt"); cnt = "3";
}
else if (caseMilestone1.Checked) //First testcase
{
AudioSignal signalTemp = AudioOperations.OpenAudioFile("C:\\SpeakerID\\Test Cases\\Sample Test\\Input sample\\ItIsPlausible_Rich_US_English.wav");
signalTemp = AudioOperations.RemoveSilence(signalTemp); //don't analyze (template function)
User userTemp = new User();
userTemp.UserTemplates = new List <AudioSignal>();
userTemp.UserName = ("Rich");
userTemp.UserTemplates.Add(signalTemp);
test.Add(userTemp);
cnt = "4";
}
else if (caseMilestone2.Checked)
{
AudioSignal signalTemp = AudioOperations.OpenAudioFile("C:\\SpeakerID\\Test Cases\\Pruning Test\\1 min\\[Input] Why Study Algorithms - (1 min).wav");
signalTemp = AudioOperations.RemoveSilence(signalTemp);
User userTemp = new User();
userTemp.UserTemplates = new List <AudioSignal>();
userTemp.UserName = ("BigOh (1 min)");
userTemp.UserTemplates.Add(signalTemp);
test.Add(userTemp);
cnt = "5";
}
else if (caseMilestone3.Checked)
{
AudioSignal signalTemp = AudioOperations.OpenAudioFile("C:\\SpeakerID\\Test Cases\\Pruning Test\\4 min\\[Input] Why Study Algorithms - (4 min).wav");
signalTemp = AudioOperations.RemoveSilence(signalTemp);
User userTemp = new User();
userTemp.UserTemplates = new List <AudioSignal>();
userTemp.UserName = ("BigOh (4 min)");
userTemp.UserTemplates.Add(signalTemp);
test.Add(userTemp);
cnt = "6";
}
for (int y = 0; y < test.Count; ++y)
{
Random rnd = new Random(); //Generate random number to choose an audio sample to test it against the database
AudioSignal sig = new AudioSignal();
sig = test[y].UserTemplates[0]; //rnd.Next(0, test[y].UserTemplates.Count)];
Sequence compareSequence_input = new Sequence();
compareSequence_input = AudioOperations.ExtractFeatures(sig);
FileStream FS = new FileStream("C:/SpeakerID/case" + cnt + "/Relations.txt", FileMode.Open);
StreamReader SR = new StreamReader(FS);
string relations = SR.ReadLine();
SR.Close();
/// <summary>
/// Split the string relations into an array of strings
/// Delimiter: #
/// Then split each string into name and path
/// Delimiter: %
/// Filling an array of "relationItem"s with the names and sequence paths of all sequences in the database, and leaving the
/// distance attribute in all the array items as they are "NULL", until calculated using the DTW algorithm
/// </summary>
///
string[] relationsStrArr = relations.Split('#');
relationItem[] relationsStructArr = new relationItem[relationsStrArr.Length - 1];
matchedPerson person = new matchedPerson();
person.distance = -1;
for (int i = 0; i < relationsStructArr.Length; i++)
{
string[] stringArrTemp = relationsStrArr[i].Split('%');
relationsStructArr[i].nameStr = stringArrTemp[0];
relationsStructArr[i].sequencePath = stringArrTemp[1];
}
Stopwatch sw;
TimeSpan TS = TimeSpan.Zero;
for (int i = 0; i < relationsStructArr.Length; i++) //Loops on all sequences in DB
{
/// Reset the "compareSequence_output" variable and prepare SR for reading the sequence
Sequence compareSequence_output = new Sequence();
FS = new FileStream(relationsStructArr[i].sequencePath, FileMode.Open);
SR = new StreamReader(FS);
/// Resetting the "file" variable
string file = "";
file += SR.ReadLine();
string[] strTempFrames = file.Split('#'); //strTemp now contains all Frames in a sequence
compareSequence_output.Frames = new MFCCFrame[strTempFrames.Length]; //Setting number of frames in output sequence
for (int j = 0; j < strTempFrames.Length; j++) //Loops on all frames in a sequence
{
string[] strTempFeatures = strTempFrames[j].Split('%');
MFCCFrame frame = new MFCCFrame();
for (int k = 0; k < 13; k++)
{
frame.Features[k] = double.Parse(strTempFeatures[k]); //Loops on all 13 features in a frame and converts string to double
}
compareSequence_output.Frames[j] = new MFCCFrame();
for (int k = 0; k < 13; k++)
{
compareSequence_output.Frames[j].Features[k] = frame.Features[k];
}
}
/// Save the difference between compareSequence_output and compareSequence_input in relationsStructArr[i].distance
if (pruningToggle1.Checked == true)
{
sw = Stopwatch.StartNew();
relationsStructArr[i].distance = Pruning_DTW(compareSequence_input, compareSequence_output);
sw.Stop();
TS += sw.Elapsed;
}
else
{
sw = Stopwatch.StartNew();
relationsStructArr[i].distance = DTW_improved(compareSequence_input, compareSequence_output);
sw.Stop();
TS += sw.Elapsed;
}
// update person object
if (relationsStructArr[i].distance < person.distance || person.distance == -1)
{
person.distance = relationsStructArr[i].distance;
person.name = relationsStructArr[i].nameStr;
}
/// Close the SR
SR.Close();
Console.WriteLine(relationsStructArr[i].nameStr);
}
/// <summary>
/// Updating status label and showing search results
/// </summary>
///
labelStatus.Text = "Status: Searching done.";
Console.WriteLine(test[y].UserName);
MessageBox.Show("Search completed\nThe closest match to this speaker is: " + person.name + "\nTime Elapsed for DTW only: " + TS.Hours + ':' + TS.Minutes + ':' + TS.Seconds + ':' + TS.Milliseconds + "\nTotal cost: " + person.distance, "Search Results");
labelStatus.Text = "Status: Ready";
}
}