Crea audio dal testo utilizzando le librerie client

Questa guida rapida illustra la procedura per utilizzare le librerie client per effettuare una richiesta a Text-to-Speech e creazione di audio dal testo.

Per ulteriori informazioni sui concetti fondamentali di Text-to-Speech, leggi le Nozioni di base su Text-to-Speech. Per sapere quali voci sintetiche sono disponibili per la tua lingua, consulta la pagina delle voci e delle lingue supportate.

Prima di iniziare

Prima di poter inviare una richiesta all'API Text-to-Speech, devi aver completato le seguenti azioni. Per informazioni dettagliate, consulta la pagina Prima di iniziare.

  • Abilitare Text-to-Speech in un progetto Google Cloud.
  • Assicurati che la fatturazione sia attiva per Text-to-Speech.

  • Installa Google Cloud CLI, quindi initialize eseguendo questo comando: 

    gcloud init

  • Crea credenziali di autenticazione locali per il tuo Account Google: 

    gcloud auth application-default login

installa la libreria client

Go

go get cloud.google.com/go/texttospeech/apiv1

Java

If you are using Maven, add the following to your pom.xml file. For more information about BOMs, see The Google Cloud Platform Libraries BOM.

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>26.37.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-texttospeech</artifactId>
  </dependency>

If you are using Gradle, add the following to your dependencies:

implementation 'com.google.cloud:google-cloud-texttospeech:2.43.0'

If you are using sbt, add the following to your dependencies:

libraryDependencies += "com.google.cloud" % "google-cloud-texttospeech" % "2.43.0"

If you're using Visual Studio Code, IntelliJ, or Eclipse, you can add client libraries to your project using the following IDE plugins:

The plugins provide additional functionality, such as key management for service accounts. Refer to each plugin's documentation for details.

Node.js

Prima di installare la libreria, assicurati di aver preparato l'ambiente per lo sviluppo in Node.js.

npm install --save @google-cloud/text-to-speech

Python

Prima di installare la libreria, assicurati di aver preparato l'ambiente per lo sviluppo in Python.

pip install --upgrade google-cloud-texttospeech

Linguaggi aggiuntivi

C#: segui le istruzioni di configurazione di C# nella pagina delle librerie client e poi consulta la documentazione di riferimento di Text-to-Speech per .NET.

PHP: segui le istruzioni per la configurazione dei file PHP nella pagina delle librerie client e poi consulta la documentazione di riferimento di Text-to-Speech per PHP.

Ruby: segui le istruzioni per la configurazione di Ruby nella pagina delle librerie client e poi consulta la documentazione di riferimento di Text-to-Speech per Ruby.

Crea dati audio

Ora puoi usare Text-to-Speech per creare un file audio di sintesi vocale umana. Utilizza il codice seguente per inviare una richiesta synthesize all'API Text-to-Speech.

Go


// Command quickstart generates an audio file with the content "Hello, World!".
package main

import (
	"context"
	"fmt"
	"io/ioutil"
	"log"

	texttospeech "cloud.google.com/go/texttospeech/apiv1"
	"cloud.google.com/go/texttospeech/apiv1/texttospeechpb"
)

func main() {
	// Instantiates a client.
	ctx := context.Background()

	client, err := texttospeech.NewClient(ctx)
	if err != nil {
		log.Fatal(err)
	}
	defer client.Close()

	// Perform the text-to-speech request on the text input with the selected
	// voice parameters and audio file type.
	req := texttospeechpb.SynthesizeSpeechRequest{
		// Set the text input to be synthesized.
		Input: &texttospeechpb.SynthesisInput{
			InputSource: &texttospeechpb.SynthesisInput_Text{Text: "Hello, World!"},
		},
		// Build the voice request, select the language code ("en-US") and the SSML
		// voice gender ("neutral").
		Voice: &texttospeechpb.VoiceSelectionParams{
			LanguageCode: "en-US",
			SsmlGender:   texttospeechpb.SsmlVoiceGender_NEUTRAL,
		},
		// Select the type of audio file you want returned.
		AudioConfig: &texttospeechpb.AudioConfig{
			AudioEncoding: texttospeechpb.AudioEncoding_MP3,
		},
	}

	resp, err := client.SynthesizeSpeech(ctx, &req)
	if err != nil {
		log.Fatal(err)
	}

	// The resp's AudioContent is binary.
	filename := "output.mp3"
	err = ioutil.WriteFile(filename, resp.AudioContent, 0644)
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("Audio content written to file: %v\n", filename)
}

Java

// Imports the Google Cloud client library
import com.google.cloud.texttospeech.v1.AudioConfig;
import com.google.cloud.texttospeech.v1.AudioEncoding;
import com.google.cloud.texttospeech.v1.SsmlVoiceGender;
import com.google.cloud.texttospeech.v1.SynthesisInput;
import com.google.cloud.texttospeech.v1.SynthesizeSpeechResponse;
import com.google.cloud.texttospeech.v1.TextToSpeechClient;
import com.google.cloud.texttospeech.v1.VoiceSelectionParams;
import com.google.protobuf.ByteString;
import java.io.FileOutputStream;
import java.io.OutputStream;

/**
 * Google Cloud TextToSpeech API sample application. Example usage: mvn package exec:java
 * -Dexec.mainClass='com.example.texttospeech.QuickstartSample'
 */
public class QuickstartSample {

  /** Demonstrates using the Text-to-Speech API. */
  public static void main(String... args) throws Exception {
    // Instantiates a client
    try (TextToSpeechClient textToSpeechClient = TextToSpeechClient.create()) {
      // Set the text input to be synthesized
      SynthesisInput input = SynthesisInput.newBuilder().setText("Hello, World!").build();

      // Build the voice request, select the language code ("en-US") and the ssml voice gender
      // ("neutral")
      VoiceSelectionParams voice =
          VoiceSelectionParams.newBuilder()
              .setLanguageCode("en-US")
              .setSsmlGender(SsmlVoiceGender.NEUTRAL)
              .build();

      // Select the type of audio file you want returned
      AudioConfig audioConfig =
          AudioConfig.newBuilder().setAudioEncoding(AudioEncoding.MP3).build();

      // Perform the text-to-speech request on the text input with the selected voice parameters and
      // audio file type
      SynthesizeSpeechResponse response =
          textToSpeechClient.synthesizeSpeech(input, voice, audioConfig);

      // Get the audio contents from the response
      ByteString audioContents = response.getAudioContent();

      // Write the response to the output file.
      try (OutputStream out = new FileOutputStream("output.mp3")) {
        out.write(audioContents.toByteArray());
        System.out.println("Audio content written to file \"output.mp3\"");
      }
    }
  }
}

Node.js

Prima di eseguire l'esempio, assicurati di aver preparato l'ambiente per lo sviluppo in Node.js.

// Imports the Google Cloud client library
const textToSpeech = require('@google-cloud/text-to-speech');

// Import other required libraries
const fs = require('fs');
const util = require('util');
// Creates a client
const client = new textToSpeech.TextToSpeechClient();
async function quickStart() {
  // The text to synthesize
  const text = 'hello, world!';

  // Construct the request
  const request = {
    input: {text: text},
    // Select the language and SSML voice gender (optional)
    voice: {languageCode: 'en-US', ssmlGender: 'NEUTRAL'},
    // select the type of audio encoding
    audioConfig: {audioEncoding: 'MP3'},
  };

  // Performs the text-to-speech request
  const [response] = await client.synthesizeSpeech(request);
  // Write the binary audio content to a local file
  const writeFile = util.promisify(fs.writeFile);
  await writeFile('output.mp3', response.audioContent, 'binary');
  console.log('Audio content written to file: output.mp3');
}
quickStart();

Python

Prima di eseguire l'esempio, assicurati di aver preparato l'ambiente per lo sviluppo in Python.

"""Synthesizes speech from the input string of text or ssml.
Make sure to be working in a virtual environment.

Note: ssml must be well-formed according to:
    https://www.w3.org/TR/speech-synthesis/
"""
from google.cloud import texttospeech

# Instantiates a client
client = texttospeech.TextToSpeechClient()

# Set the text input to be synthesized
synthesis_input = texttospeech.SynthesisInput(text="Hello, World!")

# Build the voice request, select the language code ("en-US") and the ssml
# voice gender ("neutral")
voice = texttospeech.VoiceSelectionParams(
    language_code="en-US", ssml_gender=texttospeech.SsmlVoiceGender.NEUTRAL
)

# Select the type of audio file you want returned
audio_config = texttospeech.AudioConfig(
    audio_encoding=texttospeech.AudioEncoding.MP3
)

# Perform the text-to-speech request on the text input with the selected
# voice parameters and audio file type
response = client.synthesize_speech(
    input=synthesis_input, voice=voice, audio_config=audio_config
)

# The response's audio_content is binary.
with open("output.mp3", "wb") as out:
    # Write the response to the output file.
    out.write(response.audio_content)
    print('Audio content written to file "output.mp3"')

Complimenti! Hai inviato la tua prima richiesta a Text-to-Speech.

Com'è andata?

Esegui la pulizia

Per evitare che al tuo account Google Cloud vengano addebitati costi relativi alle risorse utilizzate in questa pagina, segui questi passaggi:

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