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Use Python to interface with Tencent Cloud to implement speech synthesis function

王林
王林Original
2023-07-05 23:42:22772browse

Title: Use Python to connect with Tencent Cloud interface to realize speech synthesis function

Abstract: This article will introduce how to use Python language to connect with Tencent Cloud interface to realize speech synthesis function. We will use Tencent Cloud's speech synthesis API to synthesize text into speech, and attach corresponding code examples to help readers get started quickly.

Text:

  1. Preparation work
    Before we start, we need to complete some preparation work:
  2. Register a Tencent Cloud account and activate the speech synthesis service
  3. Install the Python interpreter and corresponding libraries
  4. Create Tencent Cloud key information
    In the Tencent Cloud console, enter the speech synthesis management page, create an application, and generate a SecretId and SecretKey. This information will be used for subsequent authentication requests.
  5. Install related libraries
    We will use the requests library to send HTTP requests and the base64 library to encode the input text. Use the following command to install these libraries:

    pip install requests
    pip install base64
  6. Writing a function to synthesize speech
    Here is a simple Python function for synthesizing speech:

    import requests
    import base64
    import hashlib
    import time
    
    def text_to_speech(text):
     # 替换为你的SecretId和SecretKey
     secret_id = 'your_secret_id'
     secret_key = 'your_secret_key'
     # 替换为你的AppId
     app_id = 'your_app_id'
      
     # 构造请求参数
     params = {
         'Action': 'TextToStreamAudio',
         'Text': text,
         'SessionId': hashlib.md5(str(time.time()).encode()).hexdigest(),
         'ModelType': '1',
         'AppId': app_id
     }
     
     # 构造请求头
     headers = {
         'Content-Type': 'application/json',
         'Authorization': ''
     }
      
     # 构造请求签名
     sign_str = 'POSTaai.tencentcloudapi.com/?' + '&'.join([key + '=' + str(params[key]) for key in sorted(params.keys())])
     sign = base64.b64encode(hmac.new(secret_key.encode(), sign_str.encode(), digestmod=hashlib.sha1).digest())
     headers['Authorization'] = 'TC3-HMAC-SHA256 Credential=%s/%s, SignedHeaders=content-type;host, Signature=%s' % (secret_id, time.strftime('%Y-%m-%d'), sign.decode())
    
     # 发送HTTP请求
     response = requests.post('https://aai.tencentcloudapi.com', headers=headers, json=params)
    
     # 获取返回结果
     result = response.json()
     if 'Audio' in result.keys():
         # 播放语音
         play_audio(result['Audio'])
     else:
         print(result['Response']['Error']['Message'])
  7. Sample code
    The following is a sample code that demonstrates how to call the text_to_speech function just written to synthesize speech:

    text = '欢迎使用腾讯云语音合成API,这是一个示例文字'
    text_to_speech(text)

Conclusion:
This article introduces how to use Python language to interface with Tencent Cloud interface to implement speech synthesis function. By calling Tencent Cloud's speech synthesis API, we can synthesize text into speech and achieve speech output by playing audio files. Readers can further expand the application based on this sample code and implement their own speech synthesis function.

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