全部产品
Search

搜索本产品

    java SDK 2.0

    文档中心
    下载PDF

    java SDK 2.0

    更新时间： 2020-11-03

    提示:

    • 在使用SDK之前，请先确保已阅读了 接口说明文档。
    • 从2.1.0版本开始原有nls-sdk-short-asr 更名为 nls-sdk-recognizer.升级时需确认删除掉nls-sdk-short-asr,并按编译提示添加相应回调方法即可。

    下载安装

    可从maven 服务器下载最新版本SDK：

    1. <dependency>
    2.     <groupId>com.alibaba.nls</groupId>
    3.     <artifactId>nls-sdk-recognizer</artifactId>
    4.     <version>2.1.0</version>
    5. </dependency>

    使用方式参见下面代码示例。Demo 源码下载链接。

    demo 解压后，在pom 目录运行mvn package ，会在target目录生成可执行jar：nls-example-recognizer-2.0.0-jar-with-dependencies.jar 将此jar拷贝到目标服务器，可用于快速验证及压测服务。

    服务验证

    java -cp nls-example-recognizer-2.0.0-jar-with-dependencies.jar com.alibaba.nls.client.SpeechRecognizerDemo并按提示提供相应参数，运行后在命令执行目录生成logs/nls.log

    服务压测

    java -jar nls-example-recognizer-2.0.0-jar-with-dependencies.jar并按提示提供相应参数，其中阿里云服务url参数为： wss://nls-gateway-ap-southeast-1.aliyuncs.com/ws/v1 ，语音文件请提供16k采样率 pcm 格式文件，并发数根据用户已购买并发谨慎选择。

    温馨提示：自行压测超过2并发会产生费用。

    关键接口

    • NlsClient：语音处理client，相当于所有语音相关处理类的factory，全局创建一个实例即可。线程安全。
    • SpeechRecognizer：一句话识别处理类，设置请求参数，发送请求及声音数据。非线程安全。
    • SpeechRecognizerListener：识别结果监听类，监听识别结果。非线程安全。

    更多介绍参见API文档链接: Java API接口说明

    SDK 调用注意事项

    1. NlsClient对象创建一次可以重复使用，每次创建消耗性能。NlsClient使用了netty的框架，创建时比较消耗时间和资源，但创建之后可以重复利用。建议调用程序将NlsClient的创建和关闭与程序本身的生命周期结合。
    2. SpeechRecognizer对象不能重复使用，一个识别任务对应一个SpeechRecognizer对象。例如有N个音频文件，则要进行N次识别任务，创建N个SpeechRecognizer对象。
    3. 实现的SpeechRecognizerListener对象和SpeechRecognizer对象是一一对应的，不能将一个SpeechRecognizerListener对象设置到多个SpeechRecognizer对象中，否则不能区分是哪个识别任务。
    4. Java SDK依赖了Netty网络库，版本需设置为4.1.17.Final及以上。如果您的应用中依赖了Netty，请确保版本符合要求。

    代码示例

    说明1：Demo中使用的音频文件为16000Hz采样率，请在管控台中将appKey对应项目的模型设置为通用模型，以获取正确的识别结果；如果使用其他音频，请设置为支持该音频场景的模型，模型设置请阅读管理项目一节。

    nls-sample-16k.wav

    说明2：Demo显示了如何在在创建NlsClient对象的时候设置URL：

    1. client = new NlsClient("ws://nls-gateway-ap-southeast-1.aliyuncs.com/ws/v1", accessToken);

    说明3：更多代码细节和多线程调用示例请参考SDK的示例程序。

    示例:

    1. package com.alibaba.nls.client;
    3. import java.io.File;
    4. import java.io.FileInputStream;
    6. import com.alibaba.nls.client.protocol.InputFormatEnum;
    7. import com.alibaba.nls.client.protocol.NlsClient;
    8. import com.alibaba.nls.client.protocol.SampleRateEnum;
    9. import com.alibaba.nls.client.protocol.asr.SpeechRecognizer;
    10. import com.alibaba.nls.client.protocol.asr.SpeechRecognizerListener;
    11. import com.alibaba.nls.client.protocol.asr.SpeechRecognizerResponse;
    13. import org.slf4j.Logger;
    14. import org.slf4j.LoggerFactory;
    16. /**
    17.  * for demo show only
    18.  */
    19. public class SpeechRecognizerDemo {
    20.     private static final Logger logger = LoggerFactory.getLogger(SpeechRecognizerDemo.class);
    21.     private String appKey;
    22.     NlsClient client;
    24.     public SpeechRecognizerDemo(String appKey, String token, String url) {
    25.         this.appKey = appKey;
    26.         // Create an NlsClient object. You can globally create an NlsClient object and specify the endpoint.
    27.         if(url.isEmpty()) {
    28.             client = new NlsClient("wss://nls-gateway-ap-southeast-1.aliyuncs.com/ws/v1", token);
    29.         }else {
    30.             client = new NlsClient(url, token);
    31.         }
    32.     }
    34.     // user-define params
    35.     private static SpeechRecognizerListener getRecognizerListener(int myOrder, String userParam) {
    36.         SpeechRecognizerListener listener = new SpeechRecognizerListener() {
    37.             // Return intermediate results. The server returns this message when it recognizes a word.
    38.             // This message is returned only when the setEnableIntermediateResult parameter is set to true.
    39.             @Override
    40.             public void onRecognitionResultChanged(SpeechRecognizerResponse response) {
    41.                 // The message name RecognitionResultChanged.
    42.                 // The status code. The code 20000000 indicates that the request is successful
    43.                 // The recognized text.
    44.                 System.out.println("name: " + response.getName() + ", status: " + response.getStatus() + ", result: " + response.getRecognizedText());
    45.             }
    47.             //Indicate that the recognition is completed.
    48.             @Override
    49.             public void onRecognitionCompleted(SpeechRecognizerResponse response) {
    50.                 System.out.println("name: " + response.getName() + ", status: " + response.getStatus() + ", result: " + response.getRecognizedText());
    51.             }
    53.             @Override
    54.             public void onStarted(SpeechRecognizerResponse response) {
    55.                 System.out.println("myOrder: " + myOrder + "; myParam: " + userParam + "; task_id: " + response.getTaskId());
    56.             }
    58.             @Override
    59.             public void onFail(SpeechRecognizerResponse response) {
    60.                 // response.getStatus() : the error message.
    61.                 // task_id : very important, unique id
    62.                 System.out.println("task_id: " + response.getTaskId() + ", status: " + response.getStatus() + ", status_text: " + response.getStatusText());
    63.             }
    64.         };
    65.         return listener;
    66.     }
    68.     // calculate the corresponding equivalent voice length based on the binary data size
    69.     public static int getSleepDelta(int dataSize, int sampleRate) {
    70.         int sampleBytes = 16;
    71.         // only supports single channel
    72.         int soundChannel = 1;
    73.         return (dataSize * 10 * 8000) / (160 * sampleRate);
    74.     }
    76.     public void process(String filepath, int sampleRate) {
    77.         SpeechRecognizer recognizer = null;
    78.         try {
    79.             String myParam = "user-param";
    80.             int myOrder = 1234;
    81.             SpeechRecognizerListener listener = getRecognizerListener(myOrder, myParam);
    83.             recognizer = new SpeechRecognizer(client, listener);
    84.             recognizer.setAppKey(appKey);
    86.             //audo format
    87.             recognizer.setFormat(InputFormatEnum.PCM);
    88.             // Specify the audio coding format.
    89.             if(sampleRate == 16000) {
    90.                 recognizer.setSampleRate(SampleRateEnum.SAMPLE_RATE_16K);
    91.             } else if(sampleRate == 8000) {
    92.                 recognizer.setSampleRate(SampleRateEnum.SAMPLE_RATE_8K);
    93.             }
    94.             //intermediate result
    95.             recognizer.setEnableIntermediateResult(true);
    97.             long now = System.currentTimeMillis();
    98.             recognizer.start();
    99.             logger.info("ASR start latency : " + (System.currentTimeMillis() - now) + " ms");
    101.             File file = new File(filepath);
    102.             FileInputStream fis = new FileInputStream(file);
    103.             byte[] b = new byte[3200];
    104.             int len;
    105.             while ((len = fis.read(b)) > 0) {
    106.                 logger.info("send data pack length: " + len);
    107.                 recognizer.send(b);
    109.                 // if it is real-time speech, then no sleep, if it is 8k sample rate, the second parameter is changed to 8000
    110.                 // if 8000 sample rate, 3200 bytes is recommended for sleep 200ms. if 16000 sample rate, 3200 bytes is recommended for sleep 100ms.
    111.                 int deltaSleep = getSleepDelta(len, sampleRate);
    112.                 Thread.sleep(deltaSleep);
    113.             }
    115.             now = System.currentTimeMillis();
    116.             logger.info("ASR wait for complete");
    117.             recognizer.stop();
    118.             logger.info("ASR stop latency : " + (System.currentTimeMillis() - now) + " ms");
    120.             fis.close();
    121.         } catch (Exception e) {
    122.             System.err.println(e.getMessage());
    123.         } finally {
    124.             //close
    125.             if (null != recognizer) {
    126.                 recognizer.close();
    127.             }
    128.         }
    129.     }
    131.     public void shutdown() {
    132.         client.shutdown();
    133.     }
    135.     public static void main(String[] args) throws Exception {
    136.         String appKey = null;
    137.         String token = null;
    138.         String url = ""; // default：wss://nls-gateway-ap-southeast-1.aliyuncs.com/ws/v1
    140.         if (args.length == 2) {
    141.             appKey   = args[0];
    142.             token    = args[1];
    143.         } else if (args.length == 3) {
    144.             appKey   = args[0];
    145.             token    = args[1];
    146.             url      = args[2];
    147.         } else {
    148.             System.err.println("run error, need params(url is optional): " + "<app-key> <token> [url]");
    149.             System.exit(-1);
    150.         }
    152.         SpeechRecognizerDemo demo = new SpeechRecognizerDemo(appKey, token, url);
    153.         demo.process("./nls-sample-16k.wav", 16000);
    154.         demo.shutdown();
    155.     }
    156. }
    免费试用 免费试用