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A Beginner's Guide to Natural Speech Generation in PHP

王林
王林Original
2023-06-11 09:49:391388browse

As a server-side scripting language, PHP is increasingly widely used and continues to develop. In the process of realizing human-computer interaction, natural language generation technology has always been an important part. If computers can be enabled to perform human-computer interaction through voice, it can bring revolutionary changes to many fields. In PHP, there are many excellent natural speech generation tools to choose from. This article will introduce how to use PHP for natural speech generation.

1. What is natural speech generation technology

Natural speech generation refers to the generation of speech similar to human speech through computers, that is, obtaining a speech that looks like a sound produced by humans. Enables computers to interact with people through voice.

Current natural speech generation technology is usually divided into two categories, one is text-based natural speech generation, and the other is natural speech generation based on speech synthesis.

Text-based natural speech generation requires converting input text into speech signals. This requires the use of speech synthesis technology to convert text into sound signals similar to human speech.

Natural speech generation based on speech synthesis is a process that converts the input speech signal into a piece of text information for processing and then uses natural language generation technology to generate a new speech signal.

2. Application fields of natural speech generation technology

The application fields of natural speech generation technology are very wide, the most common of which is speech synthesis. Speech synthesis technology can be applied to many fields, such as:

1. Office automation field: such as automated voice answering machines, voice alarm command systems, automated telephone dialogue systems, etc.

2. Traffic control field: such as voice navigation system, voice parking management system, traffic command system, etc.

3. Electronic reading field: such as audio novel broadcasting system, audio e-book reader, etc.

4. Medical field: For example, natural language understanding and analysis system, natural language is used as an auxiliary tool for medical diagnosis and prescription.

5. Entertainment field: such as voice prompts in game background music, intelligent voice dialogue and natural conversation experience, etc.

3. How to use natural speech generation technology in PHP

For PHP developers, most applications will use ready-made libraries or APIs to achieve natural speech generation. With its powerful processing capabilities and rich function library, the PHP language has established a large number of natural speech generation tools. The main ones are as follows:

1. Baidu TTS

Baidu TTS is a speech synthesis API of Baidu Voice. It is fast, supports multiple languages ​​and is free. It currently supports 16 languages, including Chinese, English, French, Korean, Japanese, etc. In addition, it also supports gender selection function and audio format selection, which can be selected according to your actual needs.

Calling the audio synthesis API only requires a few simple steps:

  • Get ACCESS TOKEN
  • Set parameters
  • Submit request
  • Download mp3

The following is a sample code for speech synthesis using Baidu TTS:

<?php
require 'AipSpeech.php';
const APP_ID = '你的 App ID';
const API_KEY = '你的 Api Key';
const SECRET_KEY = '你的 Secret Key';

$client = new AipSpeech(APP_ID, API_KEY, SECRET_KEY);

$text = "欢迎使用百度语音合成";

$result = $client->synthesis($text, 'zh', 1, array(
    'vol' => 5,
));

// 识别正确返回语音二进制 错误则返回json 参照下面错误码
if(!is_array($result)){
    file_put_contents('audio.mp3', $result);
}
?>

2. Tencent AI development platform

Tencent AI development The platform also provides natural speech generation tools, which can be called through the API interface. The same as Baidu TTS, as long as developers follow the steps given by Tencent to obtain ACCESS TOKEN, set parameters, submit requests and other operations, speech synthesis can be achieved.

The following will introduce how to use Tencent AI development platform to achieve speech synthesis:

<?php

require_once 'TencentSpeechAPI.php';

$speech = new TencentSpeechAPI(APPID, APPKEY, PATH_TO_PRIVATE_KEY_FILE); 

$speech->set_option(array(
    'speed' => 100
));

$text = '你好';

$file = uniqid() . '.wav';

$result = $speech->speaking_word($text, $file);

/*判断请求是否成功*/
if(NULL != $result){

    /*请求成功,打印服务器返回的输入流*/

    file_put_contents($file, $result);

    echo $file;

}else{

    /*请求失败*/

    echo "语音合成失败,请检查您的网络或输入文字内容。";
}
?>

3. IBM Watson

In addition to Baidu TTS and Tencent AI development platform, IBM Watson also provides many natural language generation APIs, such as speech-to-text, sentiment analysis, spam filtering, language translation, etc. Among them, the speech-to-text function in IBM Watson can convert audio into text. When processing audio content, you need to apply for an API KEY on the IBM Watson official website to use.

The following is a sample code for speech synthesis using IBM Watson:

<?php
include 'IbmWatsonSpeechToText.php';

$apiKey = '你的APIKEY';

$url = 'https://stream.watsonplatform.net/text-to-speech/api';

$format = 'wav';

$voice = 'en-US_MichaelVoice';

$text = 'Hello World';

$newAudioName = 'output.wav';

$conversion = new IbmWatsonSpeechToText($apiKey, $url);

$conversion -> voice($voice);
$conversion -> format($format);
$conversion -> generateAudio($text, $newAudioName);
?>

4. Summary

Natural speech generation is a very important technology that can be applied to many fields in medical, gaming, education, etc. PHP is a popular server-side scripting language that can be used to implement speech synthesis and other natural language generation tasks. Through this article, we learned the specific steps and tools for using PHP to achieve natural speech generation. You can choose the above three natural speech generation tools according to your own needs, and gain a lot of useful experience in the process of realizing natural speech generation.

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