AI ninja project [day 8] 文字转语音

除了有语音转文字的服务，
GCP 也提供了文字转语音的服务。
可以想像过去我们在游戏或是动画中需要很多配音员，
现在我们只要有文字，就能生成该角色的声音。

首先是安装:

pip install  google-cloud-texttospeech

下面程序码，是使用的方式:

import os
from google.cloud import texttospeech

credential_path = "cred.json"
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path

# 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
)

with open("output.mp3", "wb") as out:
    out.write(response.audio_content)
    print('Audio content written to file "output.mp3"')

synthesis_input为输入的台词，
而texttospeech.VoiceSelectionParams参数的部分，为声音的调整，
可以从下面的function列出可选用的语音参数:

import os

credential_path = "cred.json"
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path

def list_voices():
    """Lists the available voices."""
    from google.cloud import texttospeech

    client = texttospeech.TextToSpeechClient()

    # Performs the list voices request
    voices = client.list_voices()

    for voice in voices.voices:
        # Display the voice's name. Example: tpc-vocoded
        print(f"Name: {voice.name}")

        # Display the supported language codes for this voice. Example: "en-US"
        for language_code in voice.language_codes:
            print(f"Supported language: {language_code}")

        ssml_gender = texttospeech.SsmlVoiceGender(voice.ssml_gender)

        # Display the SSML Voice Gender
        print(f"SSML Voice Gender: {ssml_gender.name}")

        # Display the natural sample rate hertz for this voice. Example: 24000
        print(f"Natural Sample Rate Hertz: {voice.natural_sample_rate_hertz}\n")

list_voices()