How To Send The Sms Through Asp.net Web App Using Google Voice

1. Overview

Google Cloud Speech-to-Text API enables developers to convert audio to text in 120 languages and variants, by applying powerful neural network models in an easy to use API.

In this codelab, you will focus on using the Speech-to-Text API with C#. You will learn how to send an audio file in English and other languages to the Cloud Speech-to-Text API for transcription.

What you'll learn

How to use the Cloud Shell
How to enable the Speech-to-Text API
How to Authenticate API requests
How to install the Google Cloud client library for C#
How to transcribe audio files in English
How to transcribe audio files with word timestamps
How to transcribe audio files in different languages

What you'll need

A Google Cloud Platform Project
A Browser, such Chrome or Firefox
Familiarity using C#

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2. Setup and Requirements

Self-paced environment setup

Sign in to Cloud Console and create a new project or reuse an existing one. (If you don't already have a Gmail or G Suite account, you must create one.)

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Remember the project ID, a unique name across all Google Cloud projects (the name above has already been taken and will not work for you, sorry!). It will be referred to later in this codelab as PROJECT_ID.

Next, you'll need to enable billing in Cloud Console in order to use Google Cloud resources.

Running through this codelab shouldn't cost much, if anything at all. Be sure to to follow any instructions in the "Cleaning up" section which advises you how to shut down resources so you don't incur billing beyond this tutorial. New users of Google Cloud are eligible for the $300USD Free Trial program.

Start Cloud Shell

While Google Cloud can be operated remotely from your laptop, in this codelab you will be using Google Cloud Shell, a command line environment running in the Cloud.

Activate Cloud Shell

From the Cloud Console, click Activate Cloud Shell .

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If you've never started Cloud Shell before, you'll be presented with an intermediate screen (below the fold) describing what it is. If that's the case, click Continue (and you won't ever see it again). Here's what that one-time screen looks like:

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It should only take a few moments to provision and connect to Cloud Shell.

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This virtual machine is loaded with all the development tools you'll need. It offers a persistent 5GB home directory and runs in Google Cloud, greatly enhancing network performance and authentication. Much, if not all, of your work in this codelab can be done with simply a browser or your Chromebook.

Once connected to Cloud Shell, you should see that you are already authenticated and that the project is already set to your project ID.

Run the following command in Cloud Shell to confirm that you are authenticated:

gcloud auth list

Command output

            Credentialed Accounts ACTIVE  ACCOUNT *       <my_account>@<my_domain.com>  To set the active account, run:     $ gcloud config set account `ACCOUNT`

gcloud config list project

Command output

[core] project = <PROJECT_ID>

If it is not, you can set it with this command:

gcloud config set project <PROJECT_ID>

Command output

Updated property [core/project].

3. Enable the Speech-to-Text API

Before you can begin using the Speech-to-Text API, you must enable the API. You can enable the API by using the following command in the Cloud Shell:

            gcloud services enable speech.googleapis.com

4. Authenticate API requests

In order to make requests to the Speech-to-Text API, you need to use a Service Account. A Service Account belongs to your project and it is used by the Google Client C# library to make Speech-to-Text API requests. Like any other user account, a service account is represented by an email address. In this section, you will use the Cloud SDK to create a service account and then create credentials you will need to authenticate as the service account.

First, set an environment variable with your PROJECT_ID which you will use throughout this codelab:

            export GOOGLE_CLOUD_PROJECT=$(gcloud config get-value core/project)

Next, create a new service account to access the Speech-to-Text API by using:

            gcloud iam service-accounts create my-speech-to-text-sa \   --display-name "my speech-to-text codelab service account"

Next, create credentials that your C# code will use to login as your new service account. Create these credentials and save it as a JSON file "~/key.json" by using the following command:

            gcloud iam service-accounts keys create ~/key.json \   --iam-account  my-speech-to-text-sa@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com

Finally, set the GOOGLE_APPLICATION_CREDENTIALS environment variable, which is used by the Speech-to-Text API C# library, covered in the next step, to find your credentials. The environment variable should be set to the full path of the credentials JSON file you created, by using:

            export GOOGLE_APPLICATION_CREDENTIALS="/home/${USER}/key.json"

You can read more about authenticating the Speech-to-Text API.

5. Install the Google Cloud Speech-to-Text API client library for C#

First, create a simple C# console application that you will use to run Speech-to-Text API samples:

            dotnet new console -n SpeechToTextApiDemo

You should see the application created and dependencies resolved:

            The template "Console Application" was created successfully. Processing post-creation actions... ... Restore succeeded.

Next, navigate to SpeechToTextApiDemo folder:

            cd SpeechToTextApiDemo/

And add Google.Cloud.Speech.V1 NuGet package to the project:

            dotnet add package Google.Cloud.Speech.V1

            info : Adding PackageReference for package 'Google.Cloud.Speech.V1' into project '/home/atameldev/SpeechToTextApiDemo/SpeechToTextApiDemo.csproj'. log  : Restoring packages for /home/atameldev/SpeechToTextApiDemo/SpeechToTextApiDemo.csproj... ... info : PackageReference for package 'Google.Cloud.Speech.V1' version '1.0.1' added to file '/home/atameldev/SpeechToTextApiDemo/SpeechToTextApiDemo.csproj'.

Now, you're ready to use Speech-to-Text API!

6. Transcribe Audio Files

In this section, you will transcribe a pre-recorded audio file in English. The audio file is available on Google Cloud Storage.

To transcribe an audio file, open the code editor from the top right side of the Cloud Shell:

Navigate to the Program.cs file inside the SpeechToTextApiDemo folder and replace the code with the following:

            using Google.Cloud.Speech.V1; using System;  namespace SpeechToTextApiDemo {     public class Program     {         public static void Main(string[] args)         {             var speech = SpeechClient.Create();             var config = new RecognitionConfig             {                 Encoding = RecognitionConfig.Types.AudioEncoding.Flac,                 SampleRateHertz = 16000,                 LanguageCode = LanguageCodes.English.UnitedStates             };             var audio = RecognitionAudio.FromStorageUri("gs://cloud-samples-tests/speech/brooklyn.flac");                                   var response = speech.Recognize(config, audio);              foreach (var result in response.Results)             {                 foreach (var alternative in result.Alternatives)                 {                     Console.WriteLine(alternative.Transcript);                 }             }         }     } }

Take a minute or two to study the code and see it is used to transcribe an audio file*.*

The Encoding parameter tells the API which type of audio encoding you're using for the audio file. Flac is the encoding type for .raw files (see the doc for encoding type for more details).

In the RecognitionAudio object, you can pass the API either the uri of our audio file in Cloud Storage or the local file path for the audio file. Here, we're using a Cloud Storage uri.

Back in Cloud Shell, run the app:

            dotnet run

You should see the following output:

            how old is the Brooklyn Bridge

Summary

In this step, you were able to transcribe an audio file in English and print out the result. Read more about Transcribing.

7. Transcribe with word timestamps

Speech-to-Text can detect time offset (timestamp) for the transcribed audio. Time offsets show the beginning and end of each spoken word in the supplied audio. A time offset value represents the amount of time that has elapsed from the beginning of the audio, in increments of 100ms.

To transcribe an audio file with time offsets, navigate to the Program.cs file inside the SpeechToTextApiDemo folder and replace the code with the following:

            using Google.Cloud.Speech.V1; using System;  namespace SpeechToTextApiDemo {     public class Program     {         public static void Main(string[] args)         {             var speech = SpeechClient.Create();             var config = new RecognitionConfig             {                 Encoding = RecognitionConfig.Types.AudioEncoding.Flac,                 SampleRateHertz = 16000,                 LanguageCode = LanguageCodes.English.UnitedStates,                 EnableWordTimeOffsets = true             };             var audio = RecognitionAudio.FromStorageUri("gs://cloud-samples-tests/speech/brooklyn.flac");                   var response = speech.Recognize(config, audio);              foreach (var result in response.Results)             {                 foreach (var alternative in result.Alternatives)                 {                     Console.WriteLine($"Transcript: { alternative.Transcript}");                     Console.WriteLine("Word details:");                     Console.WriteLine($" Word count:{alternative.Words.Count}");                     foreach (var item in alternative.Words)                     {                         Console.WriteLine($"  {item.Word}");                         Console.WriteLine($"    WordStartTime: {item.StartTime}");                         Console.WriteLine($"    WordEndTime: {item.EndTime}");                     }                 }             }         }     } }

Take a minute or two to study the code and see it is used to transcribe an audio file with word timestamps*.* The EnableWordTimeOffsets parameter tells the API to enable time offsets (see the doc for more details).

Back in Cloud Shell, run the app:

            dotnet run

You should see the following output:

            dotnet run  Transcript: how old is the Brooklyn Bridge Word details:  Word count:6   how     WordStartTime: "0s"     WordEndTime: "0.300s"   old     WordStartTime: "0.300s"     WordEndTime: "0.600s"   is     WordStartTime: "0.600s"     WordEndTime: "0.800s"   the     WordStartTime: "0.800s"     WordEndTime: "0.900s"   Brooklyn     WordStartTime: "0.900s"     WordEndTime: "1.100s"   Bridge     WordStartTime: "1.100s"     WordEndTime: "1.500s"

Summary

In this step, you were able to transcribe an audio file in English with word timestamps and print out the result. Read more about Transcribing with word offsets.

8. Transcribe different languages

Speech-to-Text API supports transcription in over 100 languages! You can find a list of supported languages here.

In this section, you will transcribe a pre-recorded audio file in French. The audio file is available on Google Cloud Storage.

To transcribe the French audio file, navigate to the Program.cs file inside the SpeechToTextApiDemo folder and replace the code with the following:

            using Google.Cloud.Speech.V1; using System;  namespace SpeechToTextApiDemo {     public class Program     {         public static void Main(string[] args)         {             var speech = SpeechClient.Create();             var config = new RecognitionConfig             {                 Encoding = RecognitionConfig.Types.AudioEncoding.Flac,                 LanguageCode = LanguageCodes.French.France             };             var audio = RecognitionAudio.FromStorageUri("gs://speech-language-samples/fr-sample.flac");              var response = speech.Recognize(config, audio);              foreach (var result in response.Results)             {                 foreach (var alternative in result.Alternatives)                 {                     Console.WriteLine(alternative.Transcript);                 }             }         }     } }

Take a minute or two to study the code and see how it is used to transcribe an audio file*.* The LanguageCode parameter tells the API what language the audio recording is in.

Back in Cloud Shell, run the app:

            dotnet run

You should see the following output:

            maître corbeau sur un arbre perché tenait en son bec un fromage

This is a sentence from a popular French children's tale.

Summary

In this step, you were able to transcribe an audio file in French and print out the result. Read more about supported languages.

9. Congratulations!

You learned how to use the Speech-to-Text API using C# to perform different kinds of transcription on audio files!

Clean up

To avoid incurring charges to your Google Cloud Platform account for the resources used in this quickstart:

Go to the Cloud Platform Console.
Select the project you want to shut down, then click 'Delete' at the top: this schedules the project for deletion.

Learn More

Google Cloud Speech-to-Text API: https://cloud.google.com/speech-to-text/docs
C#/.NET on Google Cloud Platform: https://cloud.google.com/dotnet/
Google Cloud .NET client: https://googlecloudplatform.github.io/google-cloud-dotnet/

License

This work is licensed under a Creative Commons Attribution 2.0 Generic License.