Python and Youpaiyun interface docking tutorial: realizing audio merging and noise reduction

Tutorial on connecting Python and Youpaiyun interface: Implementing audio merging and noise reduction

In the field of audio processing, audio merging and noise reduction are common tasks. This tutorial will introduce you how to use Python and Youpaiyun interface to implement audio merging and noise reduction. In this tutorial, we will use the Python language and the API provided by Youpai Cloud to complete these tasks. Without further ado, let’s get started!

Step One: Install Python and related libraries

Before you begin, make sure you have installed the Python environment. You can download and install Python from the official Python website (https://www.python.org/). In addition, we also need to install several necessary Python libraries, including requests and numpy. Open the command line window and run the following command to install these libraries:

pip install requests numpy

Step 2: Obtain the Access Key and Secret Key of Youpaiyun API

Before using Youpaiyun API, we You need to apply for a Youpaiyun account and obtain the Access Key and Secret Key. Log in to Upyun (https://www.upyun.com/) and obtain the Access Key and Secret Key in the personal center.

Step 3: Implement the audio merging function

In this step, we will use Youpaiyun’s audio merging interface to implement the audio merging function. The following is an example of the implemented code:

import requests

def merge_audio(access_key, secret_key, audio_urls, merged_audio_url):
    url = "https://api.upyun.com/merge/audio"
    headers = {
        "Authorization": "Bearer {}:{}".format(access_key, secret_key),
        "Content-Type": "application/json"
    }
    data = {
        "audio_urls": audio_urls,
        "merged_audio_url": merged_audio_url
    }
    response = requests.post(url, headers=headers, json=data)
    
    if response.status_code == 200:
        print("音频合并成功！")
    else:
        print("音频合并失败：{}".format(response.text))

In the above code, we call Youpaiyun’s audio merging interface (https://api.upyun.com/merge/audio) and use The requests library sent a POST request. We passed the Access Key and Secret Key through the Authorization header field, and specified the requested data format as JSON through the Content-Type header field. The

merge_audio function has three parameters: access_key and secret_key are used for authentication, audio_urls is a List of merged audio file URLs, merged_audio_url is the merged audio file URL.

Step 4: Implement the audio noise reduction function

In this step, we will use Youpaiyun’s audio noise reduction interface to implement the audio noise reduction function. The following is an example of the implemented code:

import requests
import numpy as np

def denoise_audio(access_key, secret_key, audio_url, denoised_audio_url):
    url = "https://api.upyun.com/denoise/audio"
    headers = {
        "Authorization": "Bearer {}:{}".format(access_key, secret_key),
        "Content-Type": "application/json"
    }
    data = {
        "audio_url": audio_url,
        "denoised_audio_url": denoised_audio_url
    }
    response = requests.post(url, headers=headers, json=data)
    
    if response.status_code == 200:
        print("音频降噪成功！")
    else:
        print("音频降噪失败：{}".format(response.text))

In the above code, we call Youpaiyun’s audio noise reduction interface (https://api.upyun.com/denoise/audio) and use requestsThe library sent a POST request. Similarly, we passed the Access Key and Secret Key through the Authorization header field, and specified the requested data format as JSON through the Content-Type header field. The

denoise_audio function has three parameters: access_key and secret_key are used for authentication, audio_url is to be denoised The URL of the audio file, denoised_audio_url is the URL of the audio file after noise reduction.

Step 5: Test the code

Before testing the code, you need to fill in the obtained Access Key and Secret Key and the URL of the audio file into the code. The following is an example of a test code:

access_key = "your_access_key"
secret_key = "your_secret_key"
audio_urls = [
    "https://example.com/audio1.wav",
    "https://example.com/audio2.wav",
    "https://example.com/audio3.wav"
]
merged_audio_url = "https://example.com/merged_audio.wav"

merge_audio(access_key, secret_key, audio_urls, merged_audio_url)

audio_url = "https://example.com/noisy_audio.wav"
denoised_audio_url = "https://example.com/denoised_audio.wav"

denoise_audio(access_key, secret_key, audio_url, denoised_audio_url)

Replace your_access_key and your_secret_key in the above code with your own Access Key and Secret Key, and Replace https://example.com/audio1.wav etc. with your own audio file URL.

After running the test code, you will be able to see the results of audio merging and noise reduction on the console.

Summary

This tutorial introduces how to use Python and Youpaiyun interface to implement audio merging and noise reduction functions. By calling the audio merging and noise reduction interface provided by Youpaiyun, we can easily implement these functions. Hope this tutorial helps you!

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