sphinx4中的大词汇量语音识别 [英] Large vocabulary speech recognition in sphinx4

问题描述

据我所知，sphinx4需要语法来识别单词.无论如何，有没有不使用语法规则就获得输入的东西，那不是语法中的东西，有点像我在命令，它会写出我要说的话?

As far as I know till now, sphinx4 requires grammar to identify the words. Is there anyway to get the input without using grammar rules, that is not in the grammar, somewhat like I am dictating and it will write what I will say?

推荐答案

据我所知，sphinx4需要语法来识别单词.

As far as I know till now, sphinx4 requires grammar to identify the words.

不，sphinx4支持大词汇量语音识别

No, sphinx4 supports large vocabulary speech recognition

总有没有不使用语法规则就获取输入的信息，那不在语法中，有点像我在命令，它会写出我要说的话?还是有任何算法可以检查它?

Is there anyway to get the input without using grammar rules, that is not in the grammar, somewhat like I am dictating and it will write what I will say? Or any algorithm maybe to check it?

您需要更新sphinx4-5prealpha版本.

You need to update sphinx4-5prealpha version.

您可以检查

You can check transcriber demo for example of large vocabulary speech recognition setup.

代码应如下所示:

package com.example;

import java.io.File;
import java.io.FileInputStream;
import java.io.InputStream;

import edu.cmu.sphinx.api.Configuration;
import edu.cmu.sphinx.api.SpeechResult;
import edu.cmu.sphinx.api.LiveSpeechRecognizer;

public class TranscriberDemo {       

    public static void main(String[] args) throws Exception {

        Configuration configuration = new Configuration();

        configuration
                .setAcousticModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us");
        configuration
                .setDictionaryPath("resource:/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict");
        configuration
                .setLanguageModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us.lm.bin");

        LiveSpeechRecognizer recognizer = new LiveSpeechRecognizer(configuration);
        recognizer.startRecognition(true);

        SpeechResult result;
        while ((result = recognizer.getResult()) != null) {
            System.out.format("Hypothesis: %s\n", result.getHypothesis());
        }
        recognizer.stopRecognition();
    }
}

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