Amazon Polly examples using AWS SDK for .NET - AWS SDK for .NET

Amazon Polly examples using AWS SDK for .NET

The following code examples show you how to perform actions and implement common scenarios by using the AWS SDK for .NET with Amazon Polly.

Actions are code excerpts from larger programs and must be run in context. While actions show you how to call individual service functions, you can see actions in context in their related scenarios.

Scenarios are code examples that show you how to accomplish specific tasks by calling multiple functions within a service or combined with other AWS services.

Each example includes a link to the complete source code, where you can find instructions on how to set up and run the code in context.

Actions

The following code example shows how to use DeleteLexicon.

AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

using System; using System.Threading.Tasks; using Amazon.Polly; using Amazon.Polly.Model; /// <summary> /// Deletes an existing Amazon Polly lexicon using the AWS SDK for .NET. /// </summary> public class DeleteLexicon { public static async Task Main() { string lexiconName = "SampleLexicon"; var client = new AmazonPollyClient(); var success = await DeletePollyLexiconAsync(client, lexiconName); if (success) { Console.WriteLine($"Successfully deleted {lexiconName}."); } else { Console.WriteLine($"Could not delete {lexiconName}."); } } /// <summary> /// Deletes the named Amazon Polly lexicon. /// </summary> /// <param name="client">The initialized Amazon Polly client object.</param> /// <param name="lexiconName">The name of the Amazon Polly lexicon to /// delete.</param> /// <returns>A Boolean value indicating the success of the operation.</returns> public static async Task<bool> DeletePollyLexiconAsync( AmazonPollyClient client, string lexiconName) { var deleteLexiconRequest = new DeleteLexiconRequest() { Name = lexiconName, }; var response = await client.DeleteLexiconAsync(deleteLexiconRequest); return response.HttpStatusCode == System.Net.HttpStatusCode.OK; } }
  • For API details, see DeleteLexicon in AWS SDK for .NET API Reference.

The following code example shows how to use DescribeVoices.

AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

using System; using System.Threading.Tasks; using Amazon.Polly; using Amazon.Polly.Model; public class DescribeVoices { public static async Task Main() { var client = new AmazonPollyClient(); var allVoicesRequest = new DescribeVoicesRequest(); var enUsVoicesRequest = new DescribeVoicesRequest() { LanguageCode = "en-US", }; try { string nextToken; do { var allVoicesResponse = await client.DescribeVoicesAsync(allVoicesRequest); nextToken = allVoicesResponse.NextToken; allVoicesRequest.NextToken = nextToken; Console.WriteLine("\nAll voices: "); allVoicesResponse.Voices.ForEach(voice => { DisplayVoiceInfo(voice); }); } while (nextToken is not null); do { var enUsVoicesResponse = await client.DescribeVoicesAsync(enUsVoicesRequest); nextToken = enUsVoicesResponse.NextToken; enUsVoicesRequest.NextToken = nextToken; Console.WriteLine("\nen-US voices: "); enUsVoicesResponse.Voices.ForEach(voice => { DisplayVoiceInfo(voice); }); } while (nextToken is not null); } catch (Exception ex) { Console.WriteLine("Exception caught: " + ex.Message); } } public static void DisplayVoiceInfo(Voice voice) { Console.WriteLine($" Name: {voice.Name}\tGender: {voice.Gender}\tLanguageName: {voice.LanguageName}"); } }
  • For API details, see DescribeVoices in AWS SDK for .NET API Reference.

The following code example shows how to use GetLexicon.

AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

using System; using System.Threading.Tasks; using Amazon.Polly; using Amazon.Polly.Model; /// <summary> /// Retrieves information about a specific Amazon Polly lexicon. /// </summary> public class GetLexicon { public static async Task Main(string[] args) { string lexiconName = "SampleLexicon"; var client = new AmazonPollyClient(); await GetPollyLexiconAsync(client, lexiconName); } public static async Task GetPollyLexiconAsync(AmazonPollyClient client, string lexiconName) { var getLexiconRequest = new GetLexiconRequest() { Name = lexiconName, }; try { var response = await client.GetLexiconAsync(getLexiconRequest); Console.WriteLine($"Lexicon:\n Name: {response.Lexicon.Name}"); Console.WriteLine($"Content: {response.Lexicon.Content}"); } catch (Exception ex) { Console.WriteLine("Error: " + ex.Message); } } }
  • For API details, see GetLexicon in AWS SDK for .NET API Reference.

The following code example shows how to use ListLexicons.

AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

using System; using System.Threading.Tasks; using Amazon.Polly; using Amazon.Polly.Model; /// <summary> /// Lists the Amazon Polly lexicons that have been defined. By default, /// lists the lexicons that are defined in the same AWS Region as the default /// user. To view Amazon Polly lexicons that are defined in a different AWS /// Region, supply it as a parameter to the Amazon Polly constructor. /// </summary> public class ListLexicons { public static async Task Main() { var client = new AmazonPollyClient(); var request = new ListLexiconsRequest(); try { Console.WriteLine("All voices: "); do { var response = await client.ListLexiconsAsync(request); request.NextToken = response.NextToken; response.Lexicons.ForEach(lexicon => { var attributes = lexicon.Attributes; Console.WriteLine($"Name: {lexicon.Name}"); Console.WriteLine($"\tAlphabet: {attributes.Alphabet}"); Console.WriteLine($"\tLanguageCode: {attributes.LanguageCode}"); Console.WriteLine($"\tLastModified: {attributes.LastModified}"); Console.WriteLine($"\tLexemesCount: {attributes.LexemesCount}"); Console.WriteLine($"\tLexiconArn: {attributes.LexiconArn}"); Console.WriteLine($"\tSize: {attributes.Size}"); }); } while (request.NextToken is not null); } catch (Exception ex) { Console.WriteLine($"Error: {ex.Message}"); } } }
  • For API details, see ListLexicons in AWS SDK for .NET API Reference.

The following code example shows how to use PutLexicon.

AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

using System; using System.Threading.Tasks; using Amazon.Polly; using Amazon.Polly.Model; /// <summary> /// Creates a new Amazon Polly lexicon using the AWS SDK for .NET. /// </summary> public class PutLexicon { public static async Task Main() { string lexiconContent = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>" + "<lexicon version=\"1.0\" xmlns=\"http://www.w3.org/2005/01/pronunciation-lexicon\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" " + "xsi:schemaLocation=\"http://www.w3.org/2005/01/pronunciation-lexicon http://www.w3.org/TR/2007/CR-pronunciation-lexicon-20071212/pls.xsd\" " + "alphabet=\"ipa\" xml:lang=\"en-US\">" + "<lexeme><grapheme>test1</grapheme><alias>test2</alias></lexeme>" + "</lexicon>"; string lexiconName = "SampleLexicon"; var client = new AmazonPollyClient(); var putLexiconRequest = new PutLexiconRequest() { Name = lexiconName, Content = lexiconContent, }; try { var response = await client.PutLexiconAsync(putLexiconRequest); if (response.HttpStatusCode == System.Net.HttpStatusCode.OK) { Console.WriteLine($"Successfully created Lexicon: {lexiconName}."); } else { Console.WriteLine($"Could not create Lexicon: {lexiconName}."); } } catch (Exception ex) { Console.WriteLine("Exception caught: " + ex.Message); } } }
  • For API details, see PutLexicon in AWS SDK for .NET API Reference.

The following code example shows how to use SynthesizeSpeech.

AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

using System; using System.IO; using System.Threading.Tasks; using Amazon.Polly; using Amazon.Polly.Model; public class SynthesizeSpeech { public static async Task Main() { string outputFileName = "speech.mp3"; string text = "Twas brillig, and the slithy toves did gyre and gimbol in the wabe"; var client = new AmazonPollyClient(); var response = await PollySynthesizeSpeech(client, text); WriteSpeechToStream(response.AudioStream, outputFileName); } /// <summary> /// Calls the Amazon Polly SynthesizeSpeechAsync method to convert text /// to speech. /// </summary> /// <param name="client">The Amazon Polly client object used to connect /// to the Amazon Polly service.</param> /// <param name="text">The text to convert to speech.</param> /// <returns>A SynthesizeSpeechResponse object that includes an AudioStream /// object with the converted text.</returns> private static async Task<SynthesizeSpeechResponse> PollySynthesizeSpeech(IAmazonPolly client, string text) { var synthesizeSpeechRequest = new SynthesizeSpeechRequest() { OutputFormat = OutputFormat.Mp3, VoiceId = VoiceId.Joanna, Text = text, }; var synthesizeSpeechResponse = await client.SynthesizeSpeechAsync(synthesizeSpeechRequest); return synthesizeSpeechResponse; } /// <summary> /// Writes the AudioStream returned from the call to /// SynthesizeSpeechAsync to a file in MP3 format. /// </summary> /// <param name="audioStream">The AudioStream returned from the /// call to the SynthesizeSpeechAsync method.</param> /// <param name="outputFileName">The full path to the file in which to /// save the audio stream.</param> private static void WriteSpeechToStream(Stream audioStream, string outputFileName) { var outputStream = new FileStream( outputFileName, FileMode.Create, FileAccess.Write); byte[] buffer = new byte[2 * 1024]; int readBytes; while ((readBytes = audioStream.Read(buffer, 0, 2 * 1024)) > 0) { outputStream.Write(buffer, 0, readBytes); } // Flushes the buffer to avoid losing the last second or so of // the synthesized text. outputStream.Flush(); Console.WriteLine($"Saved {outputFileName} to disk."); } }

Synthesize speech from text using speech marks with Amazon Polly using an AWS SDK.

using System; using System.Collections.Generic; using System.IO; using System.Threading.Tasks; using Amazon.Polly; using Amazon.Polly.Model; public class SynthesizeSpeechMarks { public static async Task Main() { var client = new AmazonPollyClient(); string outputFileName = "speechMarks.json"; var synthesizeSpeechRequest = new SynthesizeSpeechRequest() { OutputFormat = OutputFormat.Json, SpeechMarkTypes = new List<string> { SpeechMarkType.Viseme, SpeechMarkType.Word, }, VoiceId = VoiceId.Joanna, Text = "This is a sample text to be synthesized.", }; try { using (var outputStream = new FileStream(outputFileName, FileMode.Create, FileAccess.Write)) { var synthesizeSpeechResponse = await client.SynthesizeSpeechAsync(synthesizeSpeechRequest); var buffer = new byte[2 * 1024]; int readBytes; var inputStream = synthesizeSpeechResponse.AudioStream; while ((readBytes = inputStream.Read(buffer, 0, 2 * 1024)) > 0) { outputStream.Write(buffer, 0, readBytes); } } } catch (Exception ex) { Console.WriteLine($"Error: {ex.Message}"); } } }

Scenarios

The following code example shows how to create an application that analyzes customer comment cards, translates them from their original language, determines their sentiment, and generates an audio file from the translated text.

AWS SDK for .NET

This example application analyzes and stores customer feedback cards. Specifically, it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback from guests in various languages in the form of physical comment cards. That feedback is uploaded into the app through a web client. After an image of a comment card is uploaded, the following steps occur:

  • Text is extracted from the image using Amazon Textract.

  • Amazon Comprehend determines the sentiment of the extracted text and its language.

  • The extracted text is translated to English using Amazon Translate.

  • Amazon Polly synthesizes an audio file from the extracted text.

The full app can be deployed with the AWS CDK. For source code and deployment instructions, see the project in GitHub.

Services used in this example
  • Amazon Comprehend

  • Lambda

  • Amazon Polly

  • Amazon Textract

  • Amazon Translate