Windows系统实现唤醒+合成+命令词智能语音交互-Toy模板网

这篇具有很好参考价值的文章主要介绍了Windows系统实现唤醒+合成+命令词智能语音交互。希望对大家有所帮助。如果存在错误或未考虑完全的地方，请大家不吝赐教，您也可以点击"举报违法"按钮提交疑问。

1、之前写过离线能力调用，今天来个终极版，实现智能交互或者结合大模型的智能交互示例，下面进入正题。上B站效果离线唤醒+离线合成+离线命令词实现智能交互_哔哩哔哩_bilibili

2、到讯飞开放平台下载唤醒+合成+命令词的离线组合包，找到msc_64.dll复制三份出来，一定要注意路径位置，不然会出现错误。msc直接下载的原封不动的拷贝就行

Windows系统实现唤醒+合成+命令词智能语音交互,windows,交互

3、常量类的定义，各位直接复制粘贴即可，注意换自己的APPID，不然报错的

package com.day.config;

import com.sun.jna.ptr.IntByReference;

import javax.sound.sampled.*;
import java.io.ByteArrayOutputStream;
import java.io.FileInputStream;

public class Constants {
    // 构造16K 16BIT 单声道音频
    public static final String APPID = "5e11538f";  // APPID
    public static final String WORK_DIR = "src/main/resources";

    // 1、唤醒相关  ssb_param，一定注意IVW_SSB_PARAMS的fo|xxx资源的路径，xxx取值是指WORK_DIR目录下/msc/xxx   xxx是以后的路径开始拼接的！！！！！！！！！！！
    public static final AudioFormat IVW_ASR_AUDIO_FORMAT = new AudioFormat(16000F, 16, 1, true, false);
    public static final String IVW_DLL_PATH = "src/main/resources/ivw_msc_x64.dll"; // windows动态库路径
    public static final String IVW_LOGIN_PARAMS = "appid = " + APPID + ", work_dir = " + WORK_DIR;
    public static final String IVW_SSB_PARAMS = "ivw_threshold=0:1450,sst=wakeup,ivw_shot_word=1,ivw_res_path =fo|res/ivw/wakeupresource.jet";
    public static IntByReference IVW_ERROR_CODE = new IntByReference(-100);
    public static final Integer IVW_FRAME_SIZE = 6400;  // 一定要每200ms写10帧,否则会出现唤醒一段时间后无法唤醒的问题，一帧的大小为640B,其他大小可能导致无法唤醒。
    public static Integer IVW_AUDIO_STATUS = 1;
    public static DataLine.Info IVW_ASR_DATA_LINE_INFO = new DataLine.Info(TargetDataLine.class, IVW_ASR_AUDIO_FORMAT);
    public static TargetDataLine IVW_ASR_TARGET_DATA_LINE; // 录音

    static {
        try {
            IVW_ASR_TARGET_DATA_LINE = (TargetDataLine) AudioSystem.getLine(IVW_ASR_DATA_LINE_INFO);
        } catch (LineUnavailableException e) {
            e.printStackTrace();
        }
    }

    // 2、合成相关
    public static final AudioFormat TTS_AUDIO_FORMAT = new AudioFormat(16000F, 16, 1, true, false);
    public static final String TTS_DLL_PATH = "src/main/resources/tts_msc_x64.dll"; // windows动态库路径
    public static final String TTS_LOGIN_PARAMS = "appid = " + APPID + ", work_dir = " + WORK_DIR;
    public static final String TTS_SESSION_BEGIN_PARAMS = "engine_type = local, voice_name = xiaoyan, text_encoding = UTF8," +
            " tts_res_path = fo|res/tts/xiaoyan.jet;fo|res/tts/common.jet, sample_rate = 16000, speed = 50, volume = 50, pitch = 50, rdn = 2";
    public static IntByReference TTS_ERROR_CODE = new IntByReference(-100);
    public static IntByReference TTS_AUDIO_LEN = new IntByReference(-100);
    public static IntByReference TTS_SYNTH_STATUS = new IntByReference(-100);
    public static String TTS_TEXT; // 合成文本
    public static Integer TTS_TOTAL_AUDIO_LENGTH; // 合成音频长度
    public static ByteArrayOutputStream TTS_BYTE_ARRAY_OUTPUT_STREAM; // 合成音频流
    public static DataLine.Info TTS_DATA_LINE_INFO = new DataLine.Info(SourceDataLine.class, TTS_AUDIO_FORMAT, AudioSystem.NOT_SPECIFIED);
    public static SourceDataLine TTS_SOURCE_DATA_LINE; // 播放

    static {
        try {
            TTS_SOURCE_DATA_LINE = (SourceDataLine) AudioSystem.getLine(Constants.TTS_DATA_LINE_INFO);
        } catch (LineUnavailableException e) {
            e.printStackTrace();
        }
    }

    // 3、离线命令词相关
    public static final String ASR_DLL_PATH = "src/main/resources/asr_msc_x64.dll"; // windows动态库路径
    public static final String ASR_LOGIN_PARAMS = "appid = " + APPID + ", work_dir = " + WORK_DIR;
    public static final String ASR_CALL_BNF_PATH = "src/main/resources/msc/res/asr/call.bnf";
    public static final String ASR_BUILD_PARAMS = "engine_type = local,asr_res_path = fo|res/asr/common.jet," +
            "sample_rate = 16000,grm_build_path = res/asr/GrmBuilld_x64";
    public static final String ASR_LEX_PARAMS = "engine_type=local,asr_res_path = fo|res/asr/common.jet, " +
            "sample_rate = 16000,grm_build_path =res/asr/GrmBuilld_x64, grammar_list =call";
    public static IntByReference ASR_ERROR_CODE = new IntByReference(-100);
    public static final String ASR_SESSION_PARAMS = "vad_bos =3000 ,vad_eos = 10000,engine_type = local,asr_res_path = fo|res/asr/common.jet, " +
            "sample_rate = 16000,grm_build_path = res/asr/GrmBuilld_x64, local_grammar = call,result_type = json, result_encoding = UTF8";
    public static IntByReference ASR_EP_STATUS = new IntByReference(-100);
    public static IntByReference ASR_RECOG_STATUS = new IntByReference(-100);
    public static Integer ASR_AUDIO_STATUS = 1;
    public static Integer ASR_FRAME_SIZE = 640;   // 16k采样率的16位音频，一帧的大小为640Byte(来自Windows SDK的说明)
    public static FileInputStream ASR_FILE_INPUT_STREAM;
    public static String ASR_GRAMMAR_CONTENT;
    public static IntByReference ASR_RESULT_STATUS = new IntByReference(-100);
}

4、唤醒方法重写（唤醒成功执行回调函数，往下看）

package com.day.service;

import com.day.config.Constants;
import com.day.service.imp.IvwCallback;
import com.sun.jna.Library;
import com.sun.jna.Native;
import com.sun.jna.ptr.IntByReference;

public interface IvwService extends Library {
    /**
     * 重点：
     * 1.char *   对应  String
     * 2.int *    对应  IntByReference
     * 3.void *   对应  Pointer或byte[]
     * 4.int      对应  int
     * 5.无参     对应  无参
     * 6.回调函数  对应  根据文档自定义回调函数，实现接口Callback
     */
    //加载dll动态库并实例化,从而使用其内部的方法
    IvwService INSTANCE = Native.loadLibrary(Constants.IVW_DLL_PATH, IvwService.class);

    //定义登录方法    MSPLogin(const char *usr, const char *pwd, const char *params)
    public Integer MSPLogin(String usr, String pwd, String params);

    //定义开始方法    QIVWSessionbegin(const char *grammarList, const char *params, int *errorCode)
    public String QIVWSessionBegin(String grammarList, String params, IntByReference errorCode);

    //定义写音频方法  QIVWAudioWrite(const char *sessionID, const void *audioData, unsigned int audioLen, int audioStatus)
    public Integer QIVWAudioWrite(String sessionID, byte[] audioData, int audioLen, int audioStatus);

    //定义结束方法    QIVWSessionEnd(const char *sessionID, const char *hints)
    public Integer QIVWSessionEnd(String sessionID, String hints);

    //定义获取结果方法 QIVWRegisterNotify(const char *sessionID, ivw_ntf_handler msgProcCb, void *userData)
    public Integer QIVWRegisterNotify(String sessionID, IvwCallback ivwCallback, byte[] userData);

    //定义退出方法 唤醒一般不用退出
    public Integer MSPLogout();
}

5、合成方法重写

package com.day.service;

import com.day.config.Constants;
import com.sun.jna.Library;
import com.sun.jna.Native;
import com.sun.jna.Pointer;
import com.sun.jna.ptr.IntByReference;

public interface TtsService extends Library {
    /**
     * 重点：
     * 1.char *   对应  String
     * 2.int *    对应  IntByReference
     * 3.void *   对应  byte[]/Pointer，回调函数里此类型需用String来对应。
     * 4.int      对应  int
     * 5.无参     对应  void
     * 6.回调函数  对应  根据文档自定义回调函数，实现接口Callback，离线语音合成无回调
     */
    //加载dll动态库并实例化,从而使用其内部的方法
    TtsService INSTANCE = Native.loadLibrary(Constants.TTS_DLL_PATH, TtsService.class);

    //定义登录方法
    public Integer MSPLogin(String usr, String pwd, String params);

    //开始一次普通离线语音合成
    public String QTTSSessionBegin(String params, IntByReference errorCode);

    //写入需要合成的文本
    public Integer QTTSTextPut(String sessionID, String textString, int textLen, String params);

    //获取离线合成的音频
    public Pointer QTTSAudioGet(String sessionID, IntByReference audioLen, IntByReference synthStatus, IntByReference errorCode);

    //结束本次普通离线语音合成
    public Integer QTTSSessionEnd(String sessionID, String hints);

    //定义退出方法
    public Integer MSPLogout();
}

6、离线命令词方法重写

package com.day.service;

import com.day.config.Constants;
import com.day.service.imp.AsrGrammarCallback;
import com.day.service.imp.AsrLexiconCallback;
import com.sun.jna.Library;
import com.sun.jna.Native;
import com.sun.jna.ptr.IntByReference;

public interface AsrService extends Library {
    /**
     * 重点：
     * 1.char *   对应  String
     * 2.int *    对应  IntByReference
     * 3.void *   对应  byte[]，回调函数里此类型需用String来对应。
     * 4.int      对应  int
     * 5.无参     对应  void
     * 6.回调函数  对应  根据文档自定义回调函数，实现接口Callback
     */
    //加载dll动态库并实例化,从而使用其内部的方法
    AsrService INSTANCE = Native.loadLibrary(Constants.ASR_DLL_PATH, AsrService.class);

    //定义登录方法
    public Integer MSPLogin(String usr, String pwd, String params);

    //开始一次语音识别。
    public String QISRSessionBegin(String grammarList, String params, IntByReference errorCode);

    //写入本次识别的音频
    public Integer QISRAudioWrite(String sessionID, byte[] byteArrayAudioData, int waveLen, int audioStatus, IntByReference epStatus, IntByReference recogStatus);

    //获取识别结果。
    public String QISRGetResult(String sessionID, IntByReference rsltStatus, int waitTime, IntByReference errorCode);

    //结束本次语音识别。
    public Integer QISRSessionEnd(String sessionID, String hints);

    //获取当次语音识别信息，如上行流量、下行流量等
    public Integer QISRGetParam(String sessionID, String paramName, String paramValue, IntByReference valueLen);

    //构建语法，生成语法ID。有回调
    public Integer QISRBuildGrammar(String grammarType, String grammarContent, int grammarLength, String params, AsrGrammarCallback asrGrammarCallback, byte[] userData);

    //更新本地语法词典。有回调
    public Integer QISRUpdateLexicon(String lexiconName, String lexiconContent, int lexiconLength, String params, AsrLexiconCallback asrLexiconCallback, byte[] userData);

    //定义退出方法
    public Integer MSPLogout();
}

7、回调函数的定义（1个唤醒的，2个离线命令词的）

package com.day.service.imp;

import com.day.AIMain;
import com.sun.jna.Callback;

public class IvwCallback implements Callback {
    public int cb_ivw_msg_proc(String sessionID, int msg, int param1, int param2,
                               String info, String userData) {
        System.out.println("回调函数返回的唤醒结果...：" + info);
        AIMain.startTts("在的，请说指令");
        AIMain.startAsr(); // 答复完毕调用命令词
        return 0;
    }
}

package com.day.service.imp;

import com.sun.jna.Callback;

public class AsrGrammarCallback implements Callback {
    public int build_grm_cb(int errorCode, String info, String userData) {
        System.out.println("构建语法返回的ID信息...：" + info + "，错误码...：" + errorCode);
        return 0;
    }
}

package com.day.service.imp;

import com.sun.jna.Callback;

public class AsrLexiconCallback implements Callback {
    public int LexiconCallBack(int errorCode, String info, String userData) {
        System.out.println("更新词典返回的信息...：" + info + "，错误码...：" + errorCode);
        return 0;
    }
}

8、为了方便各位看官，上POM文件

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <!--父工程坐标############################################################################################-->
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.1.6.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <!--自己被别人引用的坐标#########################################################################################-->
    <groupId>com.example</groupId>
    <artifactId>day</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>day</name>
    <description>day</description>
    <!--指定JDK版本################################################################################################-->
    <properties>
        <java.version>1.8</java.version>
    </properties>
    <!--总体依赖JAR################################################################################################-->


    <dependencies>
        <!-- https://mvnrepository.com/artifact/com.google.code.gson/gson -->
        <dependency>
            <groupId>com.google.code.gson</groupId>
            <artifactId>gson</artifactId>
            <version>2.10.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/net.java.dev.jna/jna -->
        <dependency>
            <groupId>net.java.dev.jna</groupId>
            <artifactId>jna</artifactId>
            <version>5.5.0</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <version>2.1.6.RELEASE</version>
            </plugin>
        </plugins>
    </build>

    <!--配置阿里云仓库下载-->
    <repositories>
        <repository>
            <id>nexus-aliyun</id>
            <name>nexus-aliyun</name>
            <url>https://maven.aliyun.com/nexus/content/groups/public/</url>
            <releases>
                <enabled>true</enabled>
            </releases>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </repository>
    </repositories>
    <pluginRepositories>
        <pluginRepository>
            <id>public</id>
            <name>nexus-aliyun</name>
            <url>https://maven.aliyun.com/nexus/content/groups/public/</url>
            <releases>
                <enabled>true</enabled>
            </releases>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </pluginRepository>
    </pluginRepositories>

</project>

9、命令词也给一份示例Call.bnf（老生常谈，注意放置位置）

#BNF+IAT 1.0;
!grammar call;
!slot <enter>;
!slot <scanSolicitation>;
!slot <scanDelivery>;
!slot <exit>;
!start <callStart>;
<callStart>:[<enter>][<scanSolicitation>][<scanDelivery>][<exit>];
<enter>:立刻|马上|一分钟后|十分钟后|半小时后;
<scanSolicitation>:打开|关闭|调量|调暗|调高|调低;
<scanDelivery>:主卧|次卧|书房|客厅;
<exit>:空调|点灯|窗户|窗帘|衣柜;

10、实现完美的智能语音交互，感兴趣的可以结合下大模型做智能问答场景。文章来源地址https://www.toymoban.com/news/detail-600025.html

到了这里，关于Windows系统实现唤醒+合成+命令词智能语音交互的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！