零代码编程：用ChatGPT将TXT文本批量转Mp3语音文件

如果有大量的文本文档，希望转换成语音文件，可以在chatgpt中输入提示词：

你是一个Python编程专家，现在要完成一个编写将文本批量转语音的Python脚本的任务，具体步骤如下：

打开文件夹：D:AR，

读取里面的txt文档，

用edge-tts库（https://github.com/rany2/edge-tts）实现文本转语音，其中：

--voice 语音角色Name为 en-US-AnaNeural，Gender为 Female

--rate参数设为80%

语音另存为mp3文件，文件标题和txt文档一致，保存在同一个文件夹中；

###注意：

edge-tts.exe位于文件夹：D:Program Files (x86)Scripts

edge-tts库的使用方法：

Basic usage，If you want to use the edge-tts command, you can simply run it with the following command:

$ edge-tts --text "Hello, world!" --write-media hello.mp3 --write-subtitles hello.vtt

Changing rate, volume and pitch，It is possible to make minor changes to the generated speech.

$ edge-tts --rate=-50% --text "Hello, world!" --write-media hello_with_rate_halved.mp3 --write-subtitles hello_with_rate_halved.vtt

$ edge-tts --volume=-50% --text "Hello, world!" --write-media hello_with_volume_halved.mp3 --write-subtitles hello_with_volume_halved.vtt

$ edge-tts --pitch=-50Hz --text "Hello, world!" --write-media hello_with_pitch_halved.mp3 --write-subtitles hello_with_pitch_halved.vtt

In addition, it is required to use --rate=-50% instead of --rate -50% (note the lack of an equal sign) otherwise the -50% would be interpreted as just another argument.

这是打开本地demo.txt文本将其传递传递给edge-tts进行语音转化的示例代码：

import edge_tts

import asyncio

TEXT = ""

with open ('demo.txt','rb') as f:

data = f.read()

TEXT = data.decode('utf-8')

print(TEXT)

voice = 'zh-CN-YunxiNeural'

output = 'demo.mp3'

rate = '-4%'

volume = ' 0%'

async def my_function():

tts = edge_tts.Communicate(text = TEXT,voice = voice,rate = rate,volume=volume)

await tts.save(output)

if __name__ == '__main__':

asyncio.run(my_function())

这是ChatGPT给出的Python源代码：

import asyncio

import os

from edge_tts import Communicate # 确保从edge_tts正确导入Communicate类

# 文件夹路径

txt_folder_path = "D:\AR"

# 函数以异步方式运行文本到语音的转换

async def text_to_speech(txt_path, mp3_path, text, voice, rate):

tts = Communicate(text=text, voice=voice, rate=rate)

await tts.save(mp3_path)

# 遍历文件夹中的所有txt文件并进行转换

async def convert_folder_to_mp3(folder_path):

for filename in os.listdir(folder_path):

if filename.endswith(".txt"):

txt_file_path = os.path.join(folder_path, filename)

mp3_file_path = os.path.splitext(txt_file_path)[0] '.mp3'

# 从文本文件中读取内容

with open(txt_file_path, 'r', encoding='utf-8') as file:

text_content = file.read()

# 调用异步转换函数

await text_to_speech(txt_file_path, mp3_file_path, text_content,

voice="en-US-AnaNeural", rate="-20%") # 我们希望是80%的语速，所以是-20%

# 调用asyncio库以运行异步函数

asyncio.run(convert_folder_to_mp3(txt_folder_path))

print("所有的文本文件都已转换成语音。")

运行后，txt文本文档成功转换为mp3语音文件。