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Synthétiser du texte avec des profils audio

Synthétisez du texte, en spécifiant un profil audio pour optimiser la voix synthétique en vue de la lecture sur différents types de matériel.

Pages de documentation incluant cet exemple de code

Pour afficher l'exemple de code utilisé en contexte, consultez la documentation suivante :

Exemple de code

C#

/// <summary>
/// Creates an audio file from the text input, applying the specifed
/// device profile to the output.
/// </summary>
/// <param name="text">Text to synthesize into audio</param>
/// <param name="outputFile">Name of audio output file</param>
/// <param name="effectProfileId">Audio effect profile to apply</param>
/// <remarks>
/// Output file saved in project folder.
/// </remarks>
public static int SynthesizeTextWithAudioProfile(string text,
                                                 string outputFile,
                                                 string effectProfileId)
{
    var client = TextToSpeechClient.Create();
    var response = client.SynthesizeSpeech(new SynthesizeSpeechRequest
    {
        Input = new SynthesisInput
        {
            Text = text
        },
        // Note: voices can also be specified by name
        // Names of voices can be retrieved with client.ListVoices().
        Voice = new VoiceSelectionParams
        {
            LanguageCode = "en-US",
            SsmlGender = SsmlVoiceGender.Female
        },
        AudioConfig = new AudioConfig
        {
            AudioEncoding = AudioEncoding.Mp3,
            // Note: you can pass in multiple audio effects profiles.
            // They are applied in the same order as provided.
            EffectsProfileId = { effectProfileId }
        }
    });

    // The response's AudioContent is binary.
    using (Stream output = File.Create(outputFile))
    {
        response.AudioContent.WriteTo(output);
    }

    return 0;
}

Java

/**
 * 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


/**
 * 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

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

/** Uncomment and populate these variables in your code */
// $text = 'Text to synthesize';
// $effectsProfileId = 'Audio Profile ID';

// 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));

$response = $client->synthesizeSpeech($inputText, $voice, $audioConfig);
$audioContent = $response->getAudioContent();

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

$client->close();

Python

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

    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)