Google speech to text API in C#

∥☆過路亽.° 提交于 2019-11-28 11:33:35

I was also having the same issue but came up with a neat solution. I used Fiddler (http://www.telerik.com/fiddler/) to figure out how Chrome does the speech recognition and then created some code to emulate chrome sending the request. This approach uses a different URI and there is also a 16-character value called pair which is different for each request. I use a simple random value generator function to create one for the request and I also changed the output value to 'json'.

Note: The result can sometimes be empty as in your case above but there's also another json object in the response that contains the alternatives.

    private void GoogleSpeechToText()
    {
        string uri = "https://www.google.com/speech-api/full-duplex/v1/up?output=json&key=AIzaSyBOti4mM-6x9WDnZIjIeyEU21OpBXqWBgw&pair=" + GenerateUnique(16) + "&lang=en-US&pFilter=2&maxAlternatives=10&client=chromium";
        HttpWebRequest request = (HttpWebRequest)WebRequest.Create(uri);
        request.Timeout = 10000;
        request.Method = "POST";
        request.Host = "www.google.com";            
        request.KeepAlive = true;
        request.SendChunked = true;
        request.ContentType = "audio/x-flac; rate=16000";
        request.Headers.Set(HttpRequestHeader.AcceptLanguage, "en-GB,en-US;q=0.8,en;q=0.6");
        request.UserAgent = "Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36";

        string path = @"C:\TestFolder\test_audio.flac";     
        FileInfo fInfo = new FileInfo(path);
        var numBytes = fInfo.Length;
        byte[] data;

        using (FileStream fStream = new FileStream(path, FileMode.Open, FileAccess.Read))
        {
            data = new Byte[numBytes];
            fStream.Read(data, 0, (int) numBytes);
            fStream.Close();
        }

        using (Stream reqStream = request.GetRequestStream())
            reqStream.Write(data, 0, data.Length);

        try
        {
            WebResponse response = request.GetResponse();
            Stream respStream = response.GetResponseStream();

            if(response.ContentType == "application/json; charset=utf-8")
            {                    
                using (var sr = new StreamReader(respStream))
                {
                    var res = sr.ReadToEnd();
                    textBox1.Text = res;                        
                }
            }
        }
        catch (Exception ex) { MessageBox.Show(ex.Message, "Error", MessageBoxButtons.OK); }            
    }

    private string GenerateUnique(int length)
    {
        string[] LETTERS = new string[] { "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z" };
        string[] DIGITS = new string[] { "0", "1", "2", "3", "4", "5", "6", "7", "8", "9" };
        string buffer = "";
        Random random = new Random();

        for(int i = 0; i < length; i++)
        {                
            int rnd = random.Next(2);
            if (rnd == 1)
                buffer += LETTERS[random.Next(LETTERS.Length)];
            else
                buffer += DIGITS[random.Next(DIGITS.Length)];
        }
        return buffer;
    }

It's clearly mentioned in the Google cloud api url i.e

https://cloud.google.com/speech-to-text/docs/async-recognize#speech-async-recognize-gcs-protocol

If the operation has not completed, you can poll the endpoint by repeatedly making the GET request until the done property of the response is true.

        {
      "name": "operationname here",
      "metadata": {
        "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeMetadata",
        "progressPercent": 0,
        "startTime": "2018-12-18T10:56:09.425584Z",
        "lastUpdateTime": "2018-12-18T11:10:27.147310Z"
      },
      "done": true,
    }

poll the endpoint by repeatedly making the GET request until the done property of the response is true or you can check for the "progressPercent": 0 until it's value become 100. Once its 100 percent then done property becomes true.

I did the same in my code using operation name, for reference here is the code

public async Task<string> TranscribeLongMediaFile(string operationName)
    {
        string bearerToken = GetOAuthToken();
        var baseUrl = new Uri(googleSpeechBaseUrl + operationName);
        string resultContent = string.Empty;
        using (var client = new HttpClient())
        {
            client.DefaultRequestHeaders.Add(HttpRequestHeader.Authorization.ToString(), "Bearer " + bearerToken);
            client.DefaultRequestHeaders.Add(HttpRequestHeader.ContentType.ToString(), "application/json; charset=utf-8");

            client.Timeout = TimeSpan.FromMilliseconds(Timeout.Infinite);

            int currentPercentage = 0;
            bool responseStatus = false;
            while (!responseStatus)
            {
                responseStatus = false;
                // Send request
                using (var result = await client.GetAsync(baseUrl))
                {
                    resultContent = await result.Content.ReadAsStringAsync();

                    ResponseObject responseObject = JsonConvert.DeserializeObject<ResponseObject>(resultContent);
                    currentPercentage = responseObject.metadata.progressPercent;
                    responseStatus = (responseObject.done && currentPercentage == 100);

                    // Delay the request based on percentage value to repeatedly making the GET request until the done property of the response is true.
                    await Task.Delay(CalculateDealy(currentPercentage));
                }
            }
        };
        return resultContent;
    }

In order to delay the get request:

/// <summary>
    /// Delay the request to number of milliseconds
    /// </summary>
    /// <param name="currentPercentage"></param>
    /// <returns></returns>
    private int CalculateDealy(int currentPercentage)
    {
        int x = currentPercentage / 10;
        return (10 - x) * 1500;
    }

Get auth token:

/// <summary>
    /// Get OAuth token
    /// </summary>
    /// <returns></returns>
    public string GetOAuthToken()
    {
        return googleCredential.UnderlyingCredential.GetAccessTokenForRequestAsync("https://accounts.google.com/o/oauth2/v2/auth", CancellationToken.None).Result;
    }

At last, you will get the result like:

    {
  "name": "operationname here",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeMetadata",
    "progressPercent": 100,
    "startTime": "2018-12-18T10:56:09.425584Z",
    "lastUpdateTime": "2018-12-18T11:10:27.147310Z"
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeResponse",
    "results": [
      {
        "alternatives": [
          {
            "transcript": "okay let's get started",
            "confidence": 0.97442055
          }
        ]
      }, and so on .....

Things required:

  1. api-key.json file
  2. Install package Google.Apis.Auth.OAuth2 in order to authorize the HTTP web request

Thanks

Use it in and get uterance(phrase) and confidence(%)

     string toParse=(VALUE RETURNED BY GOOGLE)
        var trsc1 = @"transcript"":""";
        var trsc2 = @""",""confidence"":";
        var trsc3 = @"}],""final"":";
        var start = toParse.IndexOf(trsc1) + trsc1.Length;
        var end = toParse.IndexOf(trsc2);
        var end2 = toParse.IndexOf(trsc3);
        var vv1 = toParse.Substring(start, end - start);
        var vv2 = toParse.Substring(end + trsc2.Length, end2 - (end + trsc2.Length));
        vv2 = vv2.Trim().Replace(".", ",");

        float confidence = (float)Math.Round(double.Parse(vv2), 2);
        string utterance = vv1;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.IO;
using System.Net;
using Newtonsoft.Json;

namespace google_speech_api_trial4
{
    class Program
    {
        public static string ACCESS_GOOGLE_SPEECH_KEY =     "AIzaSyDC8nM1S0cLpXvRc8TXrDoey-tqQsoBGnM";

    static void Main(string[] args)
    {
        GoogleSpeechRequest();
        Console.ReadLine();

    }
             public static void GoogleSpeechRequest()
    {
            FileStream fileStream = File.OpenRead("my.flac");
        MemoryStream memoryStream = new MemoryStream();
        memoryStream.SetLength(fileStream.Length);
        fileStream.Read(memoryStream.GetBuffer(), 0, (int)fileStream.Length);
        byte[] BA_AudioFile = memoryStream.GetBuffer();
        HttpWebRequest _HWR_SpeechToText = null;
        _HWR_SpeechToText = (HttpWebRequest)HttpWebRequest.Create("https://www.google.com/speech-api/v2/recognize?output=json&lang=en-us&key=" + ACCESS_GOOGLE_SPEECH_KEY);
        _HWR_SpeechToText.Credentials = CredentialCache.DefaultCredentials;
        _HWR_SpeechToText.Method = "POST";
        _HWR_SpeechToText.ContentType = "audio/x-flac; rate=44100";
        _HWR_SpeechToText.ContentLength = BA_AudioFile.Length;
        Stream stream = _HWR_SpeechToText.GetRequestStream();
        stream.Write(BA_AudioFile, 0, BA_AudioFile.Length);
        stream.Close();
        HttpWebResponse HWR_Response = (HttpWebResponse)_HWR_SpeechToText.GetResponse();

        StreamReader SR_Response = new StreamReader(HWR_Response.GetResponseStream());
        string responseFromServer = (SR_Response.ReadToEnd());

        String[] jsons = responseFromServer.Split('\n');
        String text = "";
        foreach (String j in jsons)
        {
            dynamic jsonObject = JsonConvert.DeserializeObject(j);
            if (jsonObject == null || jsonObject.result.Count <= 0)
            {
                continue;
            }
            text = jsonObject.result[0].alternative[0].transcript;
        }
        Console.WriteLine(text);
    }
    }
}

I was looking for 3 hours, i kept gettin {"result : []"} when i print the text. I thought it wasn't converting the audio. However, the Json obj has two lines. and the second line has the audio-text. to print that, we need to parse it. Oh i also faced a lot of problems with imports, references, and using statements. but finally this code works.

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