C# 中的 Google 语音转文本 API

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【中文标题】C# 中的 Google 语音转文本 API【英文标题】:Google speech to text API in C# 【发布时间】:2014-07-25 19:34:54 【问题描述】:

当flac文件使用windows的录音机手动录制并使用软件转换器进行转换时,我的程序得到了谷歌的正确响应。 但是当我使用我的程序记录的文件时,我得到了 ""result":[] “来自谷歌。我该怎么办? 这是我的代码: 发件人:

    private static void CopyStream(FileStream fileStream, Stream requestStream)
    
        var buffer = new byte[32768];
        int read;
        while ((read = fileStream.Read(buffer, 0, buffer.Length)) > 0)
        
            requestStream.Write(buffer, 0, read);
        
    

    private static void ConfigureRequest(HttpWebRequest request)
    
        request.KeepAlive = true;
        request.SendChunked = true;
        request.ContentType = "audio/x-flac; rate=44100";
        request.UserAgent =
            "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.2 (Khtml, like Gecko) Chrome/15.0.874.121 Safari/535.2";
        request.Headers.Set(HttpRequestHeader.AcceptEncoding, "gzip,deflate,sdch");
        request.Headers.Set(HttpRequestHeader.AcceptLanguage, "en-GB,en-US;q=0.8,en;q=0.6");
        request.Headers.Set(HttpRequestHeader.AcceptCharset, "ISO-8859-1,utf-8;q=0.7,*;q=0.3");
        request.Method = "POST";
    
    using (var fileStream = new FileStream(@"C:\Users\Ahmad Mustofa\Documents\Visual Studio 2010\Projects\FP\FP\bin\Debug\voice.flac", FileMode.Open))
    
        const string requestUrl = "https://www.google.com/speech-api/v2/recognize?output=json&lang=ar-sa&key=AIzaSyBJ6VJ326Rpb23msih2wGhXENEwU1TF1PA&client=chromium&maxresults=1&pfilter=2";
        var request = (HttpWebRequest)WebRequest.Create(requestUrl);
        ConfigureRequest(request);
        var requestStream = request.GetRequestStream();
        CopyStream(fileStream, requestStream);

        using (var response = request.GetResponse())
        
            using (var responseStream = response.GetResponseStream())
            
                using (var zippedStream = new GZipStream(responseStream, CompressionMode.Decompress))
                
                     using (var sr = new StreamReader(zippedStream))
                     
                          var res = sr.ReadToEnd();
                          state.Text = res;
                     
                
            
        
    

wav 录音机:

        private void sourceStream_DataAvailable(object sender, NAudio.Wave.WaveInEventArgs e)
        
             if (waveWriter == null) return;

             waveWriter.WriteData(e.Buffer, 0, e.BytesRecorded);
             waveWriter.Flush();
        
        fileName = "C:\\Users\\Ahmad Mustofa\\Documents\\Visual Studio 2010\\Projects\\FP\\FP\\bin\\debug\\voice.wav";
        int deviceNumber = hardware.SelectedItems[0].Index;
        try
        
            sourceStream = new NAudio.Wave.WaveIn();
            sourceStream.DeviceNumber = deviceNumber;
            sourceStream.WaveFormat = new NAudio.Wave.WaveFormat(44100, NAudio.Wave.WaveIn.GetCapabilities(deviceNumber).Channels);

            sourceStream.DataAvailable += new EventHandler<NAudio.Wave.WaveInEventArgs>(sourceStream_DataAvailable);
            waveWriter = new NAudio.Wave.WaveFileWriter(fileName, sourceStream.WaveFormat);

            sourceStream.StartRecording();
        
        catch (Exception ex)
        
            state.Text = "disini" + ex.Message;
        

flac 转换器:

        string inputFile = Path.Combine("wav ", input);
        string outputFile = Path.Combine("flac", Path.ChangeExtension(input, ".flac"));

        if (!File.Exists(inputFile))
            throw new ApplicationException("Input file " + inputFile + " cannot be found!");

        WavReader wav = new WavReader(inputFile);

        using (var flacStream = File.Create(outputFile))
        
            FlacWriter flac = new FlacWriter(flacStream, wav.BitDepth, wav.Channels, wav.SampleRate);
            // Buffer for 1 second's worth of audio data
            byte[] buffer = new byte[wav.Bitrate / 8];
            int bytesRead;
            do
            
                bytesRead = wav.InputStream.Read(buffer, 0, buffer.Length);
                flac.Convert(buffer, 0, bytesRead);
             while (bytesRead > 0);
            flac.Dispose();
            flac = null;
        

【问题讨论】:

我也有同样的问题 【参考方案1】:

我也遇到了同样的问题,但想出了一个巧妙的解决方案。我使用 Fiddler (http://www.telerik.com/fiddler/) 弄清楚 Chrome 是如何进行语音识别的,然后创建了一些代码来模拟 chrome 发送请求。这种方法使用不同的 URI,并且还有一个 16 字符的值,称为对,每个请求都不同。我使用一个简单的随机值生成器函数来为请求创建一个,我还将输出值更改为“json”。

注意:结果有时可能为空,如上述情况,但响应中还有另一个包含替代项的 json 对象。

    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;
    

【讨论】:

【参考方案2】:

Google cloud api url中明确提到了,即

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

如果操作尚未完成,您可以通过重复发出 GET 请求来轮询端点,直到响应的 done 属性为 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,
    

通过重复发出 GET 请求来轮询端点,直到响应的 done 属性为真,或者您可以检查“progressPercent”:0 直到它的值变为 100。一旦它的 100% 则 done 属性变为真。

我在我的代码中使用操作名称做了同样的事情,这里是代码供参考

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;
    

为了延迟get请求:

/// <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;
    

获取授权令牌:

/// <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;
    

最后,你会得到如下结果:

    
  "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 .....

需要的东西:

    api-key.json 文件 安装包 Google.Apis.Auth.OAuth2 以授权 HTTP 网络请求

谢谢

【讨论】:

【参考方案3】:

使用它并获得话语(短语)和置信度(%)

     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;

【讨论】:

【参考方案4】:
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);
    
    

我找了 3 个小时,当我打印文本时,我一直在寻找 "result : []"。我以为它没有转换音频。但是,Json obj 有两行。第二行有音频文本。要打印它,我们需要解析它。哦,我在导入、引用和使用语句方面也遇到了很多问题。 但最后这段代码有效。

【讨论】:

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