/// <summary>
/// Converts two words into a JSON object, containing the word and the score.
/// </summary>
/// <param name="target">The word that the user was attempting to say.</param>
/// <param name="result">The word returned by the HTK engine.</param>
/// <result>The JSON object containing the word and score.</result>
private string GetResponse(string target, string result)
{
double score = Math.Round(SimilarityAlgorithm.DamereauLevensheinDistanceAlgorithm(target, result), 2) * 100;
var obj = new JObject();
obj["result"] = result;
obj["score"] = score;
return(JsonConvert.SerializeObject(obj, Formatting.Indented));
}
protected void Page_Load(object sender, EventArgs e)
{
foreach (string upload in Request.Files)
{
// Get target word
string targetWord = Request.Form["target"];
// Upload audio file
string dictionary = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, @"uploads");
Directory.CreateDirectory(dictionary);
var file = Request.Files[upload];
if (file == null)
{
continue;
}
string recordingPath = Path.Combine(dictionary, Request.Form["fileName"]);
file.SaveAs(recordingPath);
// Analyse audio file
HTKEngine engine = new HTKEngine();
Dictionary <string, string> htkResult = engine.Recognize(recordingPath).ToDictionary(x => x.Key, x => x.Value);
Console.WriteLine(recordingPath);
// Convert results to JSON
string result = "";
if (htkResult.Count == 0)
{
result = "nothing";
}
else
{
result = htkResult.Values.ToArray()[0];
}
// Add scores to database.
MPAiSQLite context = new MPAiSQLite();
context.SaveScore(System.Web.HttpContext.Current.User.Identity.Name, targetWord.ToLower(), (int)(Math.Round(SimilarityAlgorithm.DamereauLevensheinDistanceAlgorithm(Request.Form["target"], result) * 100, 0)));
// Output result as JSON.
Response.Clear();
Response.ContentType = "application/json; charset=utf-8";
Response.Write(GetResponse(Request.Form["target"], result));
Response.End();
}
}
