Beispiel #1
0
        /// <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));
        }
Beispiel #2
0
        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();
            }
        }