


How to use PHP to connect to the Alibaba Cloud speech recognition interface to implement the speech-to-text function
How to use PHP to connect to the Alibaba Cloud speech recognition interface to implement the speech-to-text function
Introduction:
With the continuous development of speech technology, speech recognition has become one of the important functions in modern applications. Alibaba Cloud provides a powerful set of speech recognition interfaces that can help developers quickly convert speech into text. This article will introduce in detail how to use PHP language to connect to the Alibaba Cloud speech recognition interface, and give relevant code examples.
1. Apply for an Alibaba Cloud account and activate the speech recognition service
First you need to have an Alibaba Cloud account, then select the "Speech Recognition" service in the Alibaba Cloud console, and make the corresponding purchase and configuration.
2. Install Composer and introduce dependency packages
To use Composer for dependency management, we need to install Composer and introduce Alibaba Cloud SDK and related dependency packages into the project.
- Install Composer
Execute the following command in the project root directory to install Composer:
curl -sS https://getcomposer.org/installer | php
- Create composer.json file
In the project root directory Create a composer.json file and add the following content in the file:
{ "require": { "aliyun/aliyun-oss-php-sdk": "^2.5", "aliyun/xunfei-openapi-php-sdk": "^1.0" } }
- Install dependency packages
Execute the following command in the project root directory to install dependency packages:
php composer.phar install
3. Write code to implement speech recognition function
Next, we will use PHP language to write code to implement the function of converting speech into text.
- Introduce SDK file
First, introduce Alibaba Cloud’s speech recognition SDK file into the code. You can add the following code where you need to use the speech recognition function:
require_once '/path/to/aliyun-oss-php-sdk/autoload.php'; require_once '/path/to/xunfei-openapi-php-sdk/autoload.php';
Please replace "/path/to/" with your actual SDK file path.
- Perform speech recognition
Next, let’s take a look at how to implement the speech-to-text function. Below is a sample code that you can modify to suit your needs.
use StsRequestV20150401 as Sts; use AlibabaCloudAliyunCoreProfileDefaultProfile; use AlibabaCloudAliyunCoreDefaultAcsClient; use AlibabaCloudAliyunCoreTeaRequest; use AlibabaCloudAliyunCoreExceptionClientException; use AlibabaCloudAliyunCoreExceptionServerException; use AlibabaCloudAliyunCoreRegionsRegion; use AlibabaCloudAliyunNlsNlsClient; use AlibabaCloudAliyunNlsModelsCreateTokenRequest; use AlibabaCloudAliyunNlsModelsSubmitTaskRequest; function voiceToText($accessKeyId, $accessKeySecret, $text) { Putenv("NLSAkId={$accessKeyId}"); Putenv("NLSSakSecret={$accessKeySecret}"); $iClientProfile = DefaultProfile::getProfile("cn-shanghai", $accessKeyId, $accessKeySecret); // 创建AcsClient实例 $client = new DefaultAcsClient($iClientProfile); // 创建请求并设置参数 $request = new SubmitTaskRequest(); $request->setMethod("POST"); $request->setAcceptFormat("json"); $request->setContentType("multipart/form-data"); $request->setTask(JSON_ENCODE([ "appkey" => "your-appkey", "format" => "wav", "state" => 1, "text" => $text, "enable" => 1, "enableUpdate" => 1, ])); // 执行请求并获取返回结果 $response = $client->getAcsResponse($request); return $response; } // 示例调用 $accessKeyId = 'your-accessKeyId'; $accessKeySecret = 'your-accessKeySecret'; $text = "语音转文字的示例文本"; $response = voiceToText($accessKeyId, $accessKeySecret, $text); var_dump($response);
Please replace "your-accessKeyId" and "your-accessKeySecret" with the actual values of your Alibaba Cloud AccessKey.
4. Summary
This article takes how to use PHP to connect to the Alibaba Cloud speech recognition interface to implement the speech-to-text function as an example. It introduces in detail how to apply for an Alibaba Cloud account, activate the speech recognition service, install Composer and Steps to introduce relevant dependency packages and write code to implement the speech recognition function. I hope this article will be helpful to developers who want to implement speech-to-text functionality. Everyone can adjust and use it according to their actual needs.
The above is the detailed content of How to use PHP to connect to the Alibaba Cloud speech recognition interface to implement the speech-to-text function. For more information, please follow other related articles on the PHP Chinese website!

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