Convert text to speech using Python?

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Convert text to speech using Python?
Cool Python App: Convert Text to Speech! Not only is this a fun project, but it allows you to experience the magic of Python. Without further ado, let's get started!

Why convert text to speech?
In this era of information explosion, we often need to deal with a large amount of text information. But sometimes, we may prefer to obtain information by listening, such as when driving, exercising or resting. This is where converting text to speech can be very useful.

Library used: gTTS
To implement text-to-speech, we need to use a Python library: gTTS (Google Text-to-Speech). This library converts text into natural fluent speech and is easy to use.

Installing and using gTTS
First, we need to install the gTTS library. Open the command line and enter the following command:

pip install gTTS

Next, let's use a simple example to feel it:

# 导入gTTS库
from gtts import gTTS
import os

# 要转换的文本
text = "Hello, 这是一个测试。"

# 创建gTTS对象,指定文本和语言
tts = gTTS(text, lang='zh')

# 保存为音频文件
tts.save("output.mp3")

# 播放音频文件
os.system("start output.mp3")

Project Combat: Text-to-Speech Announcer

So, let's work on a more interesting project: a text-to-speech reporter! You can enter the text you want to convert and let the computer play it for you. Let's see how the code is written:

from gtts import gTTS
import os

def text_to_speech(text):
    # 创建gTTS对象
    tts = gTTS(text, lang='en')
    
    # 保存为临时音频文件
    tts.save("temp.mp3")
    
    # 播放音频文件
    os.system("start temp.mp3")

# 输入要转换的文本
input_text = input("请输入要转换成语音的文本:")
text_to_speech(input_text)

Experience the magic of Python

Through this simple project, we not only learned how to use the gTTS library to convert text to speech, but also experienced the magic of Python. You can use this little app to add a new level of fun and convenience to your texts. I hope this article can help you get started in the world of text-to-speech. If you have any questions or ideas, welcome to communicate with me in the comment area. Thanks for reading everyone!

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Origin blog.csdn.net/m0_53918860/article/details/132322948