Home >Java >javaTutorial >ChatGPT Java: How to implement intelligent speech synthesis and natural language generation

ChatGPT Java: How to implement intelligent speech synthesis and natural language generation

WBOY
WBOYOriginal
2023-10-27 08:54:261461browse

ChatGPT Java:如何实现智能语音合成和自然语言生成

ChatGPT Java: How to implement intelligent speech synthesis and natural language generation, specific code examples are required

With the development of modern artificial intelligence technology, intelligent speech synthesis and natural language Generation (NLG) has become an important part of human-computer interaction. This article will introduce how to use Java language to implement intelligent speech synthesis and natural language generation, and provide specific code examples.

1. Intelligent speech synthesis

Intelligent speech synthesis refers to converting text into natural and smooth speech output. We can use the open source library MaryTTS in Java to implement the function of intelligent speech synthesis. The following is a simple sample code:

import marytts.LocalMaryInterface;
import marytts.exceptions.MaryConfigurationException;
import marytts.exceptions.SynthesisException;

public class TextToSpeech {
    private LocalMaryInterface maryTts;

    public TextToSpeech() throws MaryConfigurationException {
        maryTts = new LocalMaryInterface();
    }

    public void speak(String text) throws SynthesisException {
        maryTts.setAudioEffects(null);
        maryTts.setVoice("cmu-slt-hsmm");
        maryTts.setAudioEffects("F0Scale(duration:20;level:4)");
        maryTts.generateAudio(text);
        maryTts.playAudio();
    }

    public static void main(String[] args) {
        try {
            TextToSpeech tts = new TextToSpeech();
            tts.speak("欢迎使用智能语音合成!");
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

In the above code, we first use the constructor of MaryTTS to create a LocalMaryInterface object, and then call the speak method to convert text into speech output. In the speak method, we can set the audio effects, timbre and other parameters of the synthesized speech.

2. Natural language generation

Natural language generation refers to generating natural and smooth text output based on certain rules and corpora. In Java, we can use the NLG toolkit SimpleNLG to implement natural language generation. The following is a simple sample code:

import simplenlg.features.Feature;
import simplenlg.features.Tense;
import simplenlg.framework.DocumentElement;
import simplenlg.framework.NLGFactory;
import simplenlg.framework.StringElement;
import simplenlg.lexicon.Lexicon;
import simplenlg.lexicon.XMLLexicon;
import simplenlg.realiser.english.Realiser;

public class TextGeneration {
    public static void main(String[] args) {
        Lexicon lexicon = new XMLLexicon();
        NLGFactory nlgFactory = new NLGFactory(lexicon);
        Realiser realiser = new Realiser();

        DocumentElement sentence = nlgFactory.createSentence("这是一个简单的例子。");
        sentence.setFeature(Feature.TENSE, Tense.PAST);
        String output = realiser.realiseSentence(sentence);
        
        System.out.println(output);
    }
}

In the above code, we first create a Lexicon object, load the vocabulary library, and then use NLGFactory to create a DocumentElement object of a sentence and set its tense to past tense. Finally, the DocumentElement object is converted into text output through Realiser.

Conclusion

This article introduces how to use Java to implement intelligent speech synthesis and natural language generation functions, and provides specific code examples. By using the open source libraries MaryTTS and SimpleNLG, we can easily implement these functions in Java, providing a more intelligent and natural experience for human-computer interaction. Hope this article helps you!

The above is the detailed content of ChatGPT Java: How to implement intelligent speech synthesis and natural language generation. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn