How to use PHP to implement speech recognition in WeChat applet

As WeChat mini programs become more and more popular, developers are eager to implement some more complex functions, among which speech recognition is undoubtedly a very important one. This article will introduce how to use PHP to implement the speech recognition function in WeChat applet.

1. Preparation work
First, we need to apply for the development permission of the mini program on the WeChat public platform and create our own mini program. After creating the mini program, we need to obtain the AppID and AppSecret of the mini program. These two parameters will be used later.

2. Build the environment
Next, we need to install PHP and PHP Curl extensions, which are necessary for us to implement speech recognition. After completing the environment setup, we need to create a button in the mini program that can perform speech recognition. After clicking the button, the mini program will record. After the recording is completed, we need to upload the recording file to our server.

3. Implement speech recognition
After uploading the recording file, we need to perform speech recognition through the speech recognition API provided by WeChat. The specific operation steps are as follows:

1. Receive the recording file delivered by the applet
In PHP, we can use $_FILES['file'] to receive the recording file delivered by the applet.

2. Upload the recording file to the WeChat server
We need to upload the recording file delivered by the mini program to the WeChat server so that speech recognition can be performed. We can upload recording files to the interface provided by WeChat through HTTP POST requests. The specific operation code is as follows:

$accessToken=getAccessToken();//Get access_token
$url="https://api.weixin.qq.com/cgi-bin/media/voice/ addvoicetorecofortext?access_token=".$accessToken."&format=amr&voice_id=".$voice_id."&lang=zh_CN";
$postdata=file_get_contents($filePath);
$options=array(

"http"=>array(
    "method"=>"POST",
    "header"=>"Content-Type:application/json

",

    "content"=>$postdata,
    "timeout"=>60
)

);
$context=stream_context_create($options);
$result=file_get_contents($url,false,$context);

Among them, $accessToken is the access_token we obtained through AppID and AppSecret, $voice_id is the unique identifier of the recording file, $filePath is the path to which we uploaded the file, $result is the result returned by WeChat, including the result of speech recognition.

3. Parse the speech recognition results
We parse the results returned by WeChat to obtain the speech recognition results. The specific code is as follows:

$json=json_decode($result,true);
$text=$json'result';

4. Follow-up operations
After obtaining the speech recognition results, we can return the results to the applet in text form. At the same time, we can also Store the speech recognition results in the database to facilitate subsequent data analysis and use.

Summary:
In this way, we have completed the use of PHP to implement the speech recognition function in the WeChat applet. Through the introduction of this article , we can find that when implementing the speech recognition function, we need to master certain technologies related to PHP and HTTP requests, and we need to be familiar with the interfaces provided by WeChat. Only after mastering these basic skills can we successfully implement complex function, adding more highlights to the development of small programs.

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