Prima di iniziare
Hai fornito a Google un ID progetto GCP per accedere alla funzionalità Voce personalizzata. Assicurati di aver attivato la fatturazione, abilitato l'API Text-to-Speech e l'API AutoML e configurato l'autenticazione per questo progetto.
Assegna il ruolo AutoML Predictor all'account di servizio che utilizzerai per sintetizzare una voce personalizzata. Per ulteriori informazioni, consulta la documentazione di Google Cloud per i ruoli IAM e gli account di servizio.
Utilizzo della riga di comando
Metodo HTTP e URL:
POST https://texttospeech.googleapis.com/v1beta1/text:synthesize
Corpo JSON richiesta:
{
"input":{
"text":"Android is a mobile operating system developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets."
},
"voice":{
"custom_voice":{
"reportedUsage":"REALTIME",
"model":"projects/{project_id}/locations/us-central1/models/{model_id}"
}
},
"audioConfig":{
"audioEncoding":"LINEAR16"
}
}
Salva il corpo della richiesta in un file denominato request.json ed esegui questo comando:
curl -X POST \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
https://texttospeech.googleapis.com/v1beta1/text:synthesize
Utilizzo della libreria client Python
Scarica la libreria client ed esegui il seguente comando:
pip install texttospeech-custom-voice-beta-v1beta1-py.tar.gz
pip install protobuf --upgrade pip
Codice Python di esempio
"""Synthesize custom voice from the input string of text or ssml.
"""
from google.cloud import texttospeech_v1beta1
# Instantiate a client
client = texttospeech_v1beta1.TextToSpeechClient()
# Set the text input to be synthesized
synthesis_input = texttospeech_v1beta1.types.SynthesisInput(text="Hello, World!")
# Build the voice request, select the language code ("en-US") and specify
# custom voice model and speaker_id.
custom_voice = texttospeech_v1beta1.types.CustomVoiceParams(
reported_usage=texttospeech_v1beta1.enums.CustomVoiceParams.ReportedUsage.OFFLINE,
model='projects/{project_id}/locations/us-central1/models/{model_id}')
voice = texttospeech_v1beta1.types.VoiceSelectionParams(
language_code='en-US',
custom_voice=custom_voice)
# Select the type of audio file you want returned
audio_config = texttospeech_v1beta1.types.AudioConfig(
audio_encoding=texttospeech_v1beta1.enums.AudioEncoding.LINEAR16)
# Perform the text-to-speech request on the text input with the selected
# voice parameters and audio file type
response = client.synthesize_speech(synthesis_input, voice, audio_config)
# The response's audio_content is binary.
with open('output.wav', 'wb') as out:
# Write the response to the output file.
out.write(response.audio_content)
print('Audio content written to file "output.wav"')