self.stop()if__name__=='__main__': t=Text2Audio() t.run() 方式二.通过 azure 这个网站进行文本转语音操作(微软的TTS语音) https://azure.microsoft.com/zh-cn/products/cognitive-services/text-to-speech/ https://learn.microsoft.com/zh-cn/azure/cognitive-services/speech-service/quickstarts/se...
原文：https://medium.com/dev-genius/make-an-audio-voiceover-of-any-text-file-with-7-lines-of-python-5abcecb5c50e作者：Jacob Narayan非直接翻译，有自行改编和添加部分，翻译水平有限，难免有疏漏，欢迎指正
本文介绍OpenAI API中Audio类,此类接口作用主要有两种,分别为文本转音频、音频转文本。 Audio类涉及的模型主要有tts-1、tts-1-hd 和whisper-1。 tts-1 和 tts-1-hd 模型为TTS(Text-to-speech 文本转语音)两种模型变体,tts-1 针对文本转语音的 速度进行优化,tts-1-hd 针对文本转语音的 质量进行优化。TTS模...
infile='demo.txt'outfile='demo_audio.wav'stream.Open(outfile,SpeechLib.SSFMCreateForWrite)# 输出文件,准备写入音频数据 engine.AudioOutputStream=stream # 音频输出流设置为 stream 对象 f=open('demo','r',encoding='utf-8')# 打开输入文本文件 TheText=f.read()# 读取文件 f.close()# 关闭文件 engi...
fromgttsimportgTTSimportos#Define the text to convert to speechtext ="Hello, world!"#Create a gTTS objecttts = gTTS(text=text, lang="en")#Save the speech as an MP3 filetts.save("hello.mp3")#Play the speech using the default audio playeros.system("mpg321 hello.mp3") ...
text = self.tts body = ElementTree.tostring(xml_body) response = requests.post(constructed_url, headers=headers, data=body) ''' If a success response is returned, then the binary audio is written to file in your working directory. It is prefaced by sample and includes the date. ''' ...
print(r.text) print('请求错误!') if __name__ == '__main__': token = fetch_token() TTS_URL = "https://tsn.baidu.com/text2audio" text = """ 小时候吃了800包德芙,我妈把我从16楼扔下去,笑死,我一路顺滑到底,根本死不了。
TTS(Text To Speech) 译为从文本到语音,TTS是人工智能AI的一个模组,是人机对话的一部分,即让机器能够说话。 2、ggts 2.1 简介 https://pypi.org/project/gTTS/ gTTS(Google Text-to-Speech),一个 Python 库和 CLI 工具,用于与 Google 翻译文本转语音 API 交互。
to_tuling(text,'ai01') return a 修改tuling.py,完整内容如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import json import requests import audio_text urls = 'http://www.tuling123.com/openapi/api' def to_tuling(text,uid): data_str = { "key":"6a944508fd5c4d499b9991862ea12345...
from pathlib import Path from openai import OpenAI def generate_speech(api_key, text, model, voice, file_path): client = OpenAI(api_key=api_key) response = client.audio.speech.create( model=model, voice=voice, input=text ) path = Path(file_path) with open(path, 'wb') as file: file...