Google Cloud Text-to-Speech API

main.py

import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="/path/to/your/json.json"
from google.cloud import texttospeech

# Instantiates a client

client = texttospeech.TextToSpeechClient()

# Set the text input to be synthesized
synthesis_input = texttospeech.SynthesisInput(
	text="Ladies and Gentlemen, It is a pleasure for me to be here tonight and address such a great audience. \
  The issue I would like to bring up threatens the prosperity and welfare of the whole nation, \
  however, the majority of the population tends to ignore it and pretend as if it is not a problem at all.\
  Namely, I would like to talk about the risks of obesity.")

# Build the voice request, select the language code ("en-US") and the ssml
# voice gender ("female")
voice = texttospeech.VoiceSelectionParams(
language_code='en-US',
name='en-US-Wavenet-J',
ssml_gender=texttospeech.SsmlVoiceGender.MALE)

# 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"')

Click here to view the output sample.