Sintetizzazione testo con profili audio

Sintetizza il testo specificando un profilo audio per ottimizzare la voce sintetica per la riproduzione su diversi tipi di hardware.

Per saperne di più

Per la documentazione dettagliata che include questo esempio di codice, consulta quanto segue:

Esempio di codice

Java

Per scoprire come installare e utilizzare la libreria client per Text-to-Speech, consulta Librerie client Text-to-Speech. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Text-to-Speech Java.

Per autenticarti a Text-to-Speech, configura le Credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale. 

/**
 * Demonstrates using the Text to Speech client with audio profiles to synthesize text or ssml
 *
 * @param text the raw text to be synthesized. (e.g., "Hello there!")
 * @param effectsProfile audio profile to be used for synthesis. (e.g.,
 *     "telephony-class-application")
 * @throws Exception on TextToSpeechClient Errors.
 */
public static ByteString synthesizeTextWithAudioProfile(String text, String effectsProfile)
    throws Exception {
  // Instantiates a client
  try (TextToSpeechClient textToSpeechClient = TextToSpeechClient.create()) {
    // Set the text input to be synthesized
    SynthesisInput input = SynthesisInput.newBuilder().setText(text).build();

    // Build the voice request
    VoiceSelectionParams voice =
        VoiceSelectionParams.newBuilder()
            .setLanguageCode("en-US") // languageCode = "en_us"
            .setSsmlGender(SsmlVoiceGender.FEMALE) // ssmlVoiceGender = SsmlVoiceGender.FEMALE
            .build();

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

    // Perform the text-to-speech request
    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\"");
      return audioContents;
    }
  }
}

Node.js

Per scoprire come installare e utilizzare la libreria client per Text-to-Speech, consulta Librerie client Text-to-Speech. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Text-to-Speech Node.js.

Per autenticarti a Text-to-Speech, configura le Credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale. 


/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const text = 'Text you want to vocalize';
// const outputFile = 'YOUR_OUTPUT_FILE_LOCAtION;
// const languageCode = 'LANGUAGE_CODE_FOR_OUTPUT';
// const ssmlGender = 'SSML_GENDER_OF_SPEAKER';

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

// Creates a client
const client = new speech.TextToSpeechClient();

async function synthesizeWithEffectsProfile() {
  // Add one or more effects profiles to array.
  // Refer to documentation for more details:
  // https://cloud.google.com/text-to-speech/docs/audio-profiles
  const effectsProfileId = ['telephony-class-application'];

  const request = {
    input: {text: text},
    voice: {languageCode: languageCode, ssmlGender: ssmlGender},
    audioConfig: {audioEncoding: 'MP3', effectsProfileId: effectsProfileId},
  };

  const [response] = await client.synthesizeSpeech(request);
  const writeFile = util.promisify(fs.writeFile);
  await writeFile(outputFile, response.audioContent, 'binary');
  console.log(`Audio content written to file: ${outputFile}`);
}

PHP

Per scoprire come installare e utilizzare la libreria client per Text-to-Speech, consulta Librerie client Text-to-Speech.

Per autenticarti a Text-to-Speech, configura le Credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale. 

use Google\Cloud\TextToSpeech\V1\AudioConfig;
use Google\Cloud\TextToSpeech\V1\AudioEncoding;
use Google\Cloud\TextToSpeech\V1\Client\TextToSpeechClient;
use Google\Cloud\TextToSpeech\V1\SsmlVoiceGender;
use Google\Cloud\TextToSpeech\V1\SynthesisInput;
use Google\Cloud\TextToSpeech\V1\SynthesizeSpeechRequest;
use Google\Cloud\TextToSpeech\V1\VoiceSelectionParams;

/**
 * @param string $text Text to synthesize
 * @param string $effectsProfileId Audio Profile ID
 */
function synthesize_text_effects_profile(string $text, string $effectsProfileId): void
{
    // create client object
    $client = new TextToSpeechClient();

    $inputText = (new SynthesisInput())
        ->setText($text);

    // note: the voice can also be specified by name
    // names of voices can be retrieved with $client->listVoices()
    $voice = (new VoiceSelectionParams())
        ->setLanguageCode('en-US')
        ->setSsmlGender(SsmlVoiceGender::FEMALE);

    // define effects profile id.
    $audioConfig = (new AudioConfig())
        ->setAudioEncoding(AudioEncoding::MP3)
        ->setEffectsProfileId(array($effectsProfileId));
    $request = (new SynthesizeSpeechRequest())
        ->setInput($inputText)
        ->setVoice($voice)
        ->setAudioConfig($audioConfig);

    $response = $client->synthesizeSpeech($request);
    $audioContent = $response->getAudioContent();

    file_put_contents('output.mp3', $audioContent);
    print('Audio content written to "output.mp3"' . PHP_EOL);

    $client->close();
}

Python

Per scoprire come installare e utilizzare la libreria client per Text-to-Speech, consulta Librerie client Text-to-Speech. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Text-to-Speech Python.

Per autenticarti a Text-to-Speech, configura le Credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale. 

def synthesize_text_with_audio_profile():
    """Synthesizes speech from the input string of text."""
    from google.cloud import texttospeech

    text = "hello"
    output = "output.mp3"
    effects_profile_id = "telephony-class-application"
    client = texttospeech.TextToSpeechClient()

    input_text = texttospeech.SynthesisInput(text=text)

    # Note: the voice can also be specified by name.
    # Names of voices can be retrieved with client.list_voices().
    voice = texttospeech.VoiceSelectionParams(language_code="en-US")

    # Note: you can pass in multiple effects_profile_id. They will be applied
    # in the same order they are provided.
    audio_config = texttospeech.AudioConfig(
        audio_encoding=texttospeech.AudioEncoding.MP3,
        effects_profile_id=[effects_profile_id],
    )

    response = client.synthesize_speech(
        input=input_text, voice=voice, audio_config=audio_config
    )

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

Passaggi successivi

Per cercare e filtrare i sample di codice per altri Google Cloud prodotti, consulta il Google Cloud browser di sample.