Java test code for iFLYTEK speech-to-text and Chinese word segmentation

I recorded a piece of audio and stored it in this test.m4a file. The content of the voice is "Test Netweaver's response performance to concurrent requests".

Use the following Java code to test:

package com.iflytek.msp.lfasr;

import java.util.HashMap;
import org.apache.log4j.Logger;
import com.alibaba.fastjson.JSON;
import com.iflytek.msp.cpdb.lfasr.client.LfasrClientImp;
import com.iflytek.msp.cpdb.lfasr.exception.LfasrException;
import com.iflytek.msp.cpdb.lfasr.model.LfasrType;
import com.iflytek.msp.cpdb.lfasr.model.Message;
import com.iflytek.msp.cpdb.lfasr.model.ProgressStatus;

// SDK document: http://www.xfyun.cn/doccenter/lfasr#go_sdk_doc_v2
public class TestLfasr 
{
	// original media path
	private static final String local_file = "c:\\temp\\test.m4a";

	private static final LfasrType type = LfasrType.LFASR_STANDARD_RECORDED_AUDIO;
	
	private static int sleepSecond = 20;
	
	public static void main(String[] args) {
		LfasrClientImp lc = null;
		try {
			lc = LfasrClientImp.initLfasrClient();
		} catch (LfasrException e) {
			Message initMsg = JSON.parseObject(e.getMessage(), Message.class);
			System.out.println("ecode=" + initMsg.getErr_no());
			System.out.println("failed=" + initMsg.getFailed());
		}
				
		// get upload task id
		String task_id = "";
		HashMap<String, String> params = new HashMap<>();
		params.put("has_participle", "true");
		try {
			Message uploadMsg = lc.lfasrUpload(local_file, type, params);
			int ok = uploadMsg.getOk();
			if (ok == 0) {
				task_id = uploadMsg.getData();
				System.out.println("task_id=" + task_id);
			} else {
				System.out.println("ecode=" + uploadMsg.getErr_no());
				System.out.println("failed=" + uploadMsg.getFailed());
			}
		} catch (LfasrException e) {
			Message uploadMsg = JSON.parseObject(e.getMessage(), Message.class);
			System.out.println("ecode=" + uploadMsg.getErr_no());
			System.out.println("failed=" + uploadMsg.getFailed());					
		}
		while (true) {
			try {
				Thread.sleep(sleepSecond * 1000);
				System.out.println("waiting ...");
			} catch (InterruptedException e) {
			}
			try {
				Message progressMsg = lc.lfasrGetProgress(task_id);
				if (progressMsg.getOk() != 0) {
					System.out.println("task was fail. task_id:" + task_id);
					System.out.println("ecode=" + progressMsg.getErr_no());
					System.out.println("failed=" + progressMsg.getFailed());
					continue;
				} else {
					ProgressStatus progressStatus = JSON.parseObject(progressMsg.getData(), ProgressStatus.class);
					if (progressStatus.getStatus() == 9) {
						System.out.println("task was completed. task_id:" + task_id);
						break;	
					} else {
						System.out.println("task was incomplete. task_id:" + task_id + ", status:" + progressStatus.getDesc());
						continue;
					}
				}
			} catch (LfasrException e) {
				Message progressMsg = JSON.parseObject(e.getMessage(), Message.class);
				System.out.println("ecode=" + progressMsg.getErr_no());
				System.out.println("failed=" + progressMsg.getFailed());
			}
		}
		try {
			Message resultMsg = lc.lfasrGetResult(task_id);
			System.out.println(resultMsg.getData());
			if (resultMsg.getOk() == 0) {
				System.out.println(resultMsg.getData());
			} else {
				System.out.println("ecode=" + resultMsg.getErr_no());
				System.out.println("failed=" + resultMsg.getFailed());
			}
		} catch (LfasrException e) {
			Message resultMsg = JSON.parseObject(e.getMessage(), Message.class);
			System.out.println("ecode=" + resultMsg.getErr_no());
			System.out.println("failed=" + resultMsg.getFailed());
		}
	}
}

Test Results

(1) All Chinese can be successfully converted into text; but the voice of English Netweaver is converted into Net ball

(2) Intelligent word segmentation can also work as expected, such as "test" successfully segmented into "test" and "about".

The complete Java project is on my github: https://github.com/i042416/voice2text To get more Jerry's original technical articles, please follow the public account "Wang Zixi" or scan the QR code below: