语音项目记录写实2

经过一天的查找，实验，对比，最终决定使用sphinx-4作为此项目的核心组件，一切声音数据都交由其处理，在sphinx-4的官网上看了一下sphinx-4主要构成，用一张图解释：

接下来用一个helloworld来解释一下各个组件的作用：

package edu.cmu.sphinx.demo.helloworld;

import edu.cmu.sphinx.frontend.util.Microphone;
import edu.cmu.sphinx.recognizer.Recognizer;
import edu.cmu.sphinx.result.Result;
import edu.cmu.sphinx.util.props.ConfigurationManager;

/**
 * A simple HelloWorld demo showing a simple speech application built using Sphinx-4. This application uses the Sphinx-4
 * endpointer, which automatically segments incoming audio into utterances and silences.
 */
public class HelloWorld {

    public static void main(String[] args) {
        ConfigurationManager cm;

        if (args.length > 0) {
            cm = new ConfigurationManager(args[0]);
        } else {
            cm = new ConfigurationManager(HelloWorld.class.getResource("helloworld.config.xml"));
        }

        Recognizer recognizer = (Recognizer) cm.lookup("recognizer");
        recognizer.allocate();

        // start the microphone or exit if the programm if this is not possible
        Microphone microphone = (Microphone) cm.lookup("microphone");
        if (!microphone.startRecording()) {
            System.out.println("Cannot start microphone.");
            recognizer.deallocate();
            System.exit(1);
        }

        System.out.println("Say: (Good morning | Hello) ( Bhiksha | Evandro | Paul | Philip | Rita | Will )");

        // loop the recognition until the programm exits.
        while (true) {
            System.out.println("Start speaking. Press Ctrl-C to quit.\n");

            Result result = recognizer.recognize();

            if (result != null) {
                String resultText = result.getBestFinalResultNoFiller();
                System.out.println("You said: " + resultText + '\n');
            } else {
                System.out.println("I can't hear what you said.\n");
            }
        }
    }
}

当然sphinx-4自身还带有很多有趣的sample有兴趣的读者可以去运行一下，由于本人没有麦，只能看在眼搀了。

接下来就要规划以下my project了，明天继续，功能分析。