PHP implements speech recognition function

PHP implements speech recognition function

Speech recognition is a technology that converts speech signals into corresponding text or commands, and is widely used in the modern information age. As a commonly used Web programming language, PHP can also implement speech recognition functions in a variety of ways, such as using open source tool libraries or API interfaces.

This article will introduce the basic methods of using PHP to implement speech recognition. It also provides several commonly used tool libraries and API interfaces to facilitate readers to choose appropriate solutions in actual development.

1. Basic method of PHP speech recognition

The basic method of PHP speech recognition is to convert the audio file into WAV format through FFmpeg, and then use Baidu or Alibaba and other speech recognition API interfaces to convert the WAV audio The contents of the file are converted into corresponding text or commands.

The following are the specific implementation steps:

1. Install and configure FFmpeg. In fact, FFmpeg is an open source software that can handle a variety of audio and video formats. It can convert audio files into WAV files. . We can use the following command to install FFmpeg:

sudo apt-get update
sudo apt-get install ffmpeg

After the installation is complete, we need to modify the FFmpeg configuration so that it can be called in the PHP code Get it:

$ffmpegPath = '/usr/bin/ffmpeg';
$wavePath = '/usr/bin/wavpcm';

Where, $ffmpegPath is the path of FFmpeg , $wavePath is the path of the WAV format converter.

2. Process audio files

We can use PHP built-in functions to process audio files:

$file = $_FILES'voice'; // Get the audio file path
$fileName = 'voice.wav'; //Set the file name

exec("$ffmpegPath -i $file -ar 8000 -ac 1 -acodec pcm_u8 $wavePath/$fileName");

In the above code, we use the exec() function to call FFmpeg and convert the original audio file into WAV format. Among them, the -i parameter specifies the original audio file, the -ar parameter specifies the sampling rate, the -ac parameter specifies the number of channels, and the -acodec parameter specifies the codec.

3. Use API for speech recognition

After using $wavePath/$fileName, we can convert the content of the WAV audio file into corresponding text or commands through the API. For example, we can use Baidu speech recognition API interface to implement speech recognition.

The following is a routine. First create an application on Baidu AI platform and obtain API key and secret key:

require_once 'HttpClient.php';

// Set request Parameters
$url = 'https://openapi.baidu.com/oauth/2.0/token';
$params = array(

 'grant_type' => 'client_credentials',
 'client_id' => '百度API KEY',
 'client_secret' => '百度SECRET KEY'

);

// Get Token
$response = HttpClient::get($url, $params);
$response = json_decode($response);

$access_token = $response->access_token;

//Request speech recognition interface
$url = 'https://vop.baidu.com/server_api';
$headers = array(

 'Content-Type:audio/wav;rate=8000',
 'charset=utf-8',
 'Token:'.$access_token

);

$audioData = file_get_contents($wavePath.'/'.$fileName);
$dataLen = strlen($audioData);

$params = array(

 'format' => 'wav',
 'rate' => 8000,
 'channel' => 1,
 'cuid' => 'xxx',
 'token' => $access_token,
 'len' => $dataLen,
 'speech' => base64_encode($audioData)

) ;

// Call the API interface
$response = HttpClient::post($url, $params, $headers);
$response = json_decode($response);

$text = $response->result[0];

In the above code, we use the HttpClient class to initiate an HTTP request, obtain the API key and secret key, and upload the WAV audio file to Baidu Voice Identify the API interface. Finally, the text returned by the API can be saved and processed through the $text variable.

2. Commonly used speech recognition tool libraries and API interfaces

In addition to using basic methods, you can also use ready-made speech recognition tool libraries and API interfaces. The following are a few commonly used ones:

1. PocketSphinx speech recognition tool library PocketSphinx is an open source automatic speech recognition tool library, which is the C language version of Sphinx-4. It can be quickly installed through the installation package, and provides a variety of speech recognition models and language models to support a variety of speech recognition scenarios.

2. Google Cloud Speech API Google Cloud Speech API is a speech recognition API interface based on Google Cloud Platform, supporting multiple speech recognition scenarios and multi-language recognition. It provides a variety of APIs, including REST and RPC, which can be easily integrated in applications.

3. Alibaba Cloud Voice Recognition API Alibaba Cloud Voice Recognition API is a speech recognition API interface based on the Alibaba Cloud platform, supporting multiple speech recognition scenarios and multi-language recognition. It provides a variety of voice input methods, including microphone, online audio, and file upload.

In short, there are many ways to implement the PHP speech recognition function, and you can choose according to actual development needs and application scenarios. Whether you build your own speech recognition system or use a ready-made speech recognition API interface, you need to consider factors such as system stability, efficiency, and security to ensure the normal operation of the system and the security of data.

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