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快速入门：创建自定义语音助手

项目
01/15/2025

在本快速入门中，你将使用语音 SDK 创建连接到你已创建并配置的机器人的自定义语音助手应用程序。如果需要创建机器人，请参阅相关教程，了解更全面的指南。

满足一些先决条件后，连接自定义语音助手只需几个步骤：

通过订阅密钥和区域创建 BotFrameworkConfig 对象。
使用以上的 BotFrameworkConfig 对象创建 DialogServiceConnector 对象。
使用 DialogServiceConnector 对象，开始单个言语的侦听过程。
检查返回的 ActivityReceivedEventArgs。

备注

适用于 C++、JavaScript、Objective-C、Python 和 Swift 的语音 SDK 支持自定义语音助手，但我们尚未提供有关此内容的指南。

可以在 GitHub 上查看或下载所有语音 SDK C# 示例。

先决条件

在开始之前，请务必：

创建语音资源
设置开发环境并创建空项目
创建连接到 Direct Line Speech 通道的机器人
请确保你有权访问麦克风，以便进行音频捕获

注意

请参阅语音助手支持的区域列表，确保你的资源部署在其中一个区域中。

在 Visual Studio 中打开项目

第一步是确保在 Visual Studio 中打开项目。

从一些样本代码入手

添加一些代码作为项目的框架。

在“解决方案资源管理器”中打开 MainPage.xaml。

在设计器的 XAML 视图中，将整个内容替换为定义基本用户界面的以下代码片段：

<Page
    x:Class="helloworld.MainPage"
    xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"
    xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
    xmlns:local="using:helloworld"
    xmlns:d="http://schemas.microsoft.com/expression/blend/2008"
    xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"
    mc:Ignorable="d"
    Background="{ThemeResource ApplicationPageBackgroundThemeBrush}">

    <Grid>
        <StackPanel Orientation="Vertical" HorizontalAlignment="Center"  
                    Margin="20,50,0,0" VerticalAlignment="Center" Width="800">
            <Button x:Name="EnableMicrophoneButton" Content="Enable Microphone"  
                    Margin="0,0,10,0" Click="EnableMicrophone_ButtonClicked" 
                    Height="35"/>
            <Button x:Name="ListenButton" Content="Talk to your bot" 
                    Margin="0,10,10,0" Click="ListenButton_ButtonClicked" 
                    Height="35"/>
            <StackPanel x:Name="StatusPanel" Orientation="Vertical" 
                        RelativePanel.AlignBottomWithPanel="True" 
                        RelativePanel.AlignRightWithPanel="True" 
                        RelativePanel.AlignLeftWithPanel="True">
                <TextBlock x:Name="StatusLabel" Margin="0,10,10,0" 
                           TextWrapping="Wrap" Text="Status:" FontSize="20"/>
                <Border x:Name="StatusBorder" Margin="0,0,0,0">
                    <ScrollViewer VerticalScrollMode="Auto"  
                                  VerticalScrollBarVisibility="Auto" MaxHeight="200">
                        <!-- Use LiveSetting to enable screen readers to announce 
                             the status update. -->
                        <TextBlock 
                            x:Name="StatusBlock" FontWeight="Bold" 
                            AutomationProperties.LiveSetting="Assertive"
                            MaxWidth="{Binding ElementName=Splitter, Path=ActualWidth}" 
                            Margin="10,10,10,20" TextWrapping="Wrap"  />
                    </ScrollViewer>
                </Border>
            </StackPanel>
        </StackPanel>
        <MediaElement x:Name="mediaElement"/>
    </Grid>
</Page>

更新“设计”视图以显示应用程序的用户界面。

在“解决方案资源管理器”中，打开代码隐藏源文件 MainPage.xaml.cs。（其分组在 MainPage.xaml 下。）将此文件的内容替换为以下内容，其中包括：

Speech 和 Speech.Dialog 命名空间的 using 语句
一个绑定到按钮处理程序的简单实现，用于确保麦克风访问
基本的 UI 帮助程序，用于在应用程序中提供消息和错误
初始化代码路径的登陆点，稍后将填充
用于播放文本转语音的帮助程序（没有流式处理支持）

一个用于启动侦听的空的按钮处理程序，稍后将填充

using Microsoft.CognitiveServices.Speech;
using Microsoft.CognitiveServices.Speech.Audio;
using Microsoft.CognitiveServices.Speech.Dialog;
using System;
using System.Diagnostics;
using System.IO;
using System.Text;
using Windows.Foundation;
using Windows.Storage.Streams;
using Windows.UI.Xaml;
using Windows.UI.Xaml.Controls;
using Windows.UI.Xaml.Media;

namespace helloworld
{
    public sealed partial class MainPage : Page
    {
        private DialogServiceConnector connector;

        private enum NotifyType
        {
            StatusMessage,
            ErrorMessage
        };

        public MainPage()
        {
            this.InitializeComponent();
        }

        private async void EnableMicrophone_ButtonClicked(
            object sender, RoutedEventArgs e)
        {
            bool isMicAvailable = true;
            try
            {
                var mediaCapture = new Windows.Media.Capture.MediaCapture();
                var settings = 
                    new Windows.Media.Capture.MediaCaptureInitializationSettings();
                settings.StreamingCaptureMode = 
                    Windows.Media.Capture.StreamingCaptureMode.Audio;
                await mediaCapture.InitializeAsync(settings);
            }
            catch (Exception)
            {
                isMicAvailable = false;
            }
            if (!isMicAvailable)
            {
                await Windows.System.Launcher.LaunchUriAsync(
                    new Uri("ms-settings:privacy-microphone"));
            }
            else
            {
                NotifyUser("Microphone was enabled", NotifyType.StatusMessage);
            }
        }

        private void NotifyUser(
            string strMessage, NotifyType type = NotifyType.StatusMessage)
        {
            // If called from the UI thread, then update immediately.
            // Otherwise, schedule a task on the UI thread to perform the update.
            if (Dispatcher.HasThreadAccess)
            {
                UpdateStatus(strMessage, type);
            }
            else
            {
                var task = Dispatcher.RunAsync(
                    Windows.UI.Core.CoreDispatcherPriority.Normal, 
                    () => UpdateStatus(strMessage, type));
            }
        }

        private void UpdateStatus(string strMessage, NotifyType type)
        {
            switch (type)
            {
                case NotifyType.StatusMessage:
                    StatusBorder.Background = new SolidColorBrush(
                        Windows.UI.Colors.Green);
                    break;
                case NotifyType.ErrorMessage:
                    StatusBorder.Background = new SolidColorBrush(
                        Windows.UI.Colors.Red);
                    break;
            }
            StatusBlock.Text += string.IsNullOrEmpty(StatusBlock.Text) 
                ? strMessage : "\n" + strMessage;

            if (!string.IsNullOrEmpty(StatusBlock.Text))
            {
                StatusBorder.Visibility = Visibility.Visible;
                StatusPanel.Visibility = Visibility.Visible;
            }
            else
            {
                StatusBorder.Visibility = Visibility.Collapsed;
                StatusPanel.Visibility = Visibility.Collapsed;
            }
            // Raise an event if necessary to enable a screen reader 
            // to announce the status update.
            var peer = Windows.UI.Xaml.Automation.Peers.FrameworkElementAutomationPeer.FromElement(StatusBlock);
            if (peer != null)
            {
                peer.RaiseAutomationEvent(
                    Windows.UI.Xaml.Automation.Peers.AutomationEvents.LiveRegionChanged);
            }
        }

        // Waits for and accumulates all audio associated with a given 
        // PullAudioOutputStream and then plays it to the MediaElement. Long spoken 
        // audio will create extra latency and a streaming playback solution 
        // (that plays audio while it continues to be received) should be used -- 
        // see the samples for examples of this.
        private void SynchronouslyPlayActivityAudio(
            PullAudioOutputStream activityAudio)
        {
            var playbackStreamWithHeader = new MemoryStream();
            playbackStreamWithHeader.Write(Encoding.ASCII.GetBytes("RIFF"), 0, 4); // ChunkID
            playbackStreamWithHeader.Write(BitConverter.GetBytes(UInt32.MaxValue), 0, 4); // ChunkSize: max
            playbackStreamWithHeader.Write(Encoding.ASCII.GetBytes("WAVE"), 0, 4); // Format
            playbackStreamWithHeader.Write(Encoding.ASCII.GetBytes("fmt "), 0, 4); // Subchunk1ID
            playbackStreamWithHeader.Write(BitConverter.GetBytes(16), 0, 4); // Subchunk1Size: PCM
            playbackStreamWithHeader.Write(BitConverter.GetBytes(1), 0, 2); // AudioFormat: PCM
            playbackStreamWithHeader.Write(BitConverter.GetBytes(1), 0, 2); // NumChannels: mono
            playbackStreamWithHeader.Write(BitConverter.GetBytes(16000), 0, 4); // SampleRate: 16kHz
            playbackStreamWithHeader.Write(BitConverter.GetBytes(32000), 0, 4); // ByteRate
            playbackStreamWithHeader.Write(BitConverter.GetBytes(2), 0, 2); // BlockAlign
            playbackStreamWithHeader.Write(BitConverter.GetBytes(16), 0, 2); // BitsPerSample: 16-bit
            playbackStreamWithHeader.Write(Encoding.ASCII.GetBytes("data"), 0, 4); // Subchunk2ID
            playbackStreamWithHeader.Write(BitConverter.GetBytes(UInt32.MaxValue), 0, 4); // Subchunk2Size

            byte[] pullBuffer = new byte[2056];

            uint lastRead = 0;
            do
            {
                lastRead = activityAudio.Read(pullBuffer);
                playbackStreamWithHeader.Write(pullBuffer, 0, (int)lastRead);
            }
            while (lastRead == pullBuffer.Length);

            var task = Dispatcher.RunAsync(
                Windows.UI.Core.CoreDispatcherPriority.Normal, () =>
            {
                mediaElement.SetSource(
                    playbackStreamWithHeader.AsRandomAccessStream(), "audio/wav");
                mediaElement.Play();
            });
        }

        private void InitializeDialogServiceConnector()
        {
            // New code will go here
        }

        private async void ListenButton_ButtonClicked(
            object sender, RoutedEventArgs e)
        {
            // New code will go here
        }
    }
}

将以下代码片段添加到 InitializeDialogServiceConnector 的方法主体。此代码会使用你的订阅信息创建 DialogServiceConnector。

// Create a BotFrameworkConfig by providing a Speech service subscription key
// the botConfig.Language property is optional (default en-US)
const string speechSubscriptionKey = "YourSpeechSubscriptionKey"; // Your subscription key
const string region = "YourServiceRegion"; // Your subscription service region.

var botConfig = BotFrameworkConfig.FromSubscription(speechSubscriptionKey, region);
botConfig.Language = "en-US";
connector = new DialogServiceConnector(botConfig);

注意

请参阅语音助手支持的区域列表，确保你的资源部署在其中一个区域中。

注意

有关配置机器人的信息，请参阅 Direct Line Speech 通道的 Bot Framework 文档。

将字符串 YourSpeechSubscriptionKey 和 YourServiceRegion 分别替换为自己的语音订阅和区域值。

将以下代码片段追加到 InitializeDialogServiceConnector 的方法主体的末尾。此代码为 DialogServiceConnector 依赖的事件设置处理程序，以传达其机器人活动、语音识别结果和其他信息。

// ActivityReceived is the main way your bot will communicate with the client 
// and uses bot framework activities
connector.ActivityReceived += (sender, activityReceivedEventArgs) =>
{
    NotifyUser(
        $"Activity received, hasAudio={activityReceivedEventArgs.HasAudio} activity={activityReceivedEventArgs.Activity}");

    if (activityReceivedEventArgs.HasAudio)
    {
        SynchronouslyPlayActivityAudio(activityReceivedEventArgs.Audio);
    }
};

// Canceled will be signaled when a turn is aborted or experiences an error condition
connector.Canceled += (sender, canceledEventArgs) =>
{
    NotifyUser($"Canceled, reason={canceledEventArgs.Reason}");
    if (canceledEventArgs.Reason == CancellationReason.Error)
    {
        NotifyUser(
            $"Error: code={canceledEventArgs.ErrorCode}, details={canceledEventArgs.ErrorDetails}");
    }
};

// Recognizing (not 'Recognized') will provide the intermediate recognized text 
// while an audio stream is being processed
connector.Recognizing += (sender, recognitionEventArgs) =>
{
    NotifyUser($"Recognizing! in-progress text={recognitionEventArgs.Result.Text}");
};

// Recognized (not 'Recognizing') will provide the final recognized text 
// once audio capture is completed
connector.Recognized += (sender, recognitionEventArgs) =>
{
    NotifyUser($"Final speech to text result: '{recognitionEventArgs.Result.Text}'");
};

// SessionStarted will notify when audio begins flowing to the service for a turn
connector.SessionStarted += (sender, sessionEventArgs) =>
{
    NotifyUser($"Now Listening! Session started, id={sessionEventArgs.SessionId}");
};

// SessionStopped will notify when a turn is complete and 
// it's safe to begin listening again
connector.SessionStopped += (sender, sessionEventArgs) =>
{
    NotifyUser($"Listening complete. Session ended, id={sessionEventArgs.SessionId}");
};

将以下代码片段添加到 MainPage 类中 ListenButton_ButtonClicked 方法的正文。此代码将 DialogServiceConnector 设置为侦听，因为已建立配置并注册了事件处理程序。

if (connector == null)
{
    InitializeDialogServiceConnector();
    // Optional step to speed up first interaction: if not called, 
    // connection happens automatically on first use
    var connectTask = connector.ConnectAsync();
}

try
{
    // Start sending audio to your speech-enabled bot
    var listenTask = connector.ListenOnceAsync();

    // You can also send activities to your bot as JSON strings -- 
    // Microsoft.Bot.Schema can simplify this
    string speakActivity = 
        @"{""type"":""message"",""text"":""Greeting Message"", ""speak"":""Hello there!""}";
    await connector.SendActivityAsync(speakActivity);

}
catch (Exception ex)
{
    NotifyUser($"Exception: {ex.ToString()}", NotifyType.ErrorMessage);
}

生成并运行应用

现在，可以使用语音服务构建应用并测试自定义语音助手。

从菜单栏中，选择“构建”>“构建解决方案”以构建应用程序。现在，编译代码时应不会提示错误。
选择“调试”>“开始调试”（或按 F5）以启动应用程序。此时将显示“helloworld”窗口。
选择“启用麦克风”，并在弹出访问权限请求时选择“是”。
选择“对机器人讲话”，然后对着设备的麦克风讲出一个英文短语或句子。你的语音将传输到 Direct Line Speech 通道并转录为文本，该文本会显示在窗口中。

后续步骤

浏览 GitHub 上的 C# 示例

可以在 GitHub 上查看或下载所有语音 SDK Java 示例。

选择目标环境

Java 运行时
Android

先决条件

在开始之前，请务必：

创建语音资源
设置开发环境并创建空项目
创建连接到 Direct Line Speech 通道的机器人
请确保你有权访问麦克风，以便进行音频捕获

注意

请参阅语音助手支持的区域列表，确保你的资源部署在其中一个区域中。

创建并配置项目

创建 Eclipse 项目并安装语音 SDK。

此外，若要启用日志记录，请更新 pom.xml 文件以包含以下依赖项：

 <dependency>
     <groupId>org.slf4j</groupId>
     <artifactId>slf4j-simple</artifactId>
     <version>1.7.5</version>
 </dependency>

添加示例代码

若要向 Java 项目添加新的空类，请选择“文件”>“新建”>“类”。
在“新建 Java 类”窗口中，在“包”字段内输入 speechsdk.quickstart，在“名称”字段内输入 Main。

打开新建的 Main 类，将 Main.java 文件的内容替换为以下起始代码：

package speechsdk.quickstart;

import com.microsoft.cognitiveservices.speech.audio.AudioConfig;
import com.microsoft.cognitiveservices.speech.audio.PullAudioOutputStream;
import com.microsoft.cognitiveservices.speech.dialog.BotFrameworkConfig;
import com.microsoft.cognitiveservices.speech.dialog.DialogServiceConnector;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import javax.sound.sampled.AudioFormat;
import javax.sound.sampled.AudioSystem;
import javax.sound.sampled.DataLine;
import javax.sound.sampled.SourceDataLine;
import java.io.InputStream;

public class Main {
    final Logger log = LoggerFactory.getLogger(Main.class);

    public static void main(String[] args) {
        // New code will go here
    }

    private void playAudioStream(PullAudioOutputStream audio) {
        ActivityAudioStream stream = new ActivityAudioStream(audio);
        final ActivityAudioStream.ActivityAudioFormat audioFormat = stream.getActivityAudioFormat();
        final AudioFormat format = new AudioFormat(
                AudioFormat.Encoding.PCM_SIGNED,
                audioFormat.getSamplesPerSecond(),
                audioFormat.getBitsPerSample(),
                audioFormat.getChannels(),
                audioFormat.getFrameSize(),
                audioFormat.getSamplesPerSecond(),
                false);
        try {
            int bufferSize = format.getFrameSize();
            final byte[] data = new byte[bufferSize];

            SourceDataLine.Info info = new DataLine.Info(SourceDataLine.class, format);
            SourceDataLine line = (SourceDataLine) AudioSystem.getLine(info);
            line.open(format);

            if (line != null) {
                line.start();
                int nBytesRead = 0;
                while (nBytesRead != -1) {
                    nBytesRead = stream.read(data);
                    if (nBytesRead != -1) {
                        line.write(data, 0, nBytesRead);
                    }
                }
                line.drain();
                line.stop();
                line.close();
            }
            stream.close();

        } catch (Exception e) {
            e.printStackTrace();
        }
    }

}

在 main 方法中，首先配置 DialogServiceConfig 并使用它来创建 DialogServiceConnector 实例。此实例会连接到 Direct Line Speech 通道以便与机器人交互。 AudioConfig 实例还用于指定音频输入的源。在此示例中，对 AudioConfig.fromDefaultMicrophoneInput() 使用了默认麦克风。
- 将字符串 YourSubscriptionKey 替换为可从 Azure 门户获取的语音资源密钥。
- 将字符串 YourServiceRegion 替换为与语音资源关联的区域。
注意

请参阅语音助手支持的区域列表，确保你的资源部署在其中一个区域中。
```
final String subscriptionKey = "YourSubscriptionKey"; // Your subscription key
final String region = "YourServiceRegion"; // Your speech subscription service region
final BotFrameworkConfig botConfig = BotFrameworkConfig.fromSubscription(subscriptionKey, region);

// Configure audio input from a microphone.
final AudioConfig audioConfig = AudioConfig.fromDefaultMicrophoneInput();

// Create a DialogServiceConnector instance.
final DialogServiceConnector connector = new DialogServiceConnector(botConfig, audioConfig);
```

连接器 DialogServiceConnector 依赖于多个事件来传达其机器人活动、语音识别结果和其他信息。接下来请添加这些事件侦听器。

// Recognizing will provide the intermediate recognized text while an audio stream is being processed.
connector.recognizing.addEventListener((o, speechRecognitionResultEventArgs) -> {
    log.info("Recognizing speech event text: {}", speechRecognitionResultEventArgs.getResult().getText());
});

// Recognized will provide the final recognized text once audio capture is completed.
connector.recognized.addEventListener((o, speechRecognitionResultEventArgs) -> {
    log.info("Recognized speech event reason text: {}", speechRecognitionResultEventArgs.getResult().getText());
});

// SessionStarted will notify when audio begins flowing to the service for a turn.
connector.sessionStarted.addEventListener((o, sessionEventArgs) -> {
    log.info("Session Started event id: {} ", sessionEventArgs.getSessionId());
});

// SessionStopped will notify when a turn is complete and it's safe to begin listening again.
connector.sessionStopped.addEventListener((o, sessionEventArgs) -> {
    log.info("Session stopped event id: {}", sessionEventArgs.getSessionId());
});

// Canceled will be signaled when a turn is aborted or experiences an error condition.
connector.canceled.addEventListener((o, canceledEventArgs) -> {
    log.info("Canceled event details: {}", canceledEventArgs.getErrorDetails());
    connector.disconnectAsync();
});

// ActivityReceived is the main way your bot will communicate with the client and uses Bot Framework activities.
connector.activityReceived.addEventListener((o, activityEventArgs) -> {
    final String act = activityEventArgs.getActivity().serialize();
        log.info("Received activity {} audio", activityEventArgs.hasAudio() ? "with" : "without");
        if (activityEventArgs.hasAudio()) {
            playAudioStream(activityEventArgs.getAudio());
        }
    });

调用 connectAsync() 方法将 DialogServiceConnector 连接到 Direct Line Speech。若要测试机器人，可以调用 listenOnceAsync 方法以从麦克风发送音频输入。此外，还可以使用 sendActivityAsync 方法以序列化字符串的形式发送自定义活动。这些自定义活动可以提供机器人在聊天中使用的其他数据。
```
connector.connectAsync();
// Start listening.
System.out.println("Say something ...");
connector.listenOnceAsync();

// connector.sendActivityAsync(...)
```
保存对 Main 文件的更改。
为支持响应播放，请添加一个额外的类，该类用于将从 getAudio() API 返回的 PullAudioOutputStream 对象转换为一个 java InputStream 以方便处理。此 ActivityAudioStream 是一个专用类，用于处理来自 Direct Line Speech 通道的音频响应。它提供访问器来提取处理播放所需的音频格式信息。为此，请选择“文件”>“新建”>“类”。
在“新建 Java 类”窗口中，在“包”字段中输入 speechsdk.quickstart，在“名称”字段中输入 ActivityAudioStream。

打开新建的 ActivityAudioStream 类，将其内容替换为以下代码：

package com.speechsdk.quickstart;

import com.microsoft.cognitiveservices.speech.audio.PullAudioOutputStream;

import java.io.IOException;
import java.io.InputStream;

 public final class ActivityAudioStream extends InputStream {
     /**
      * The number of samples played per second (16 kHz).
      */
     public static final long SAMPLE_RATE = 16000;
     /**
      * The number of bits in each sample of a sound that has this format (16 bits).
      */
     public static final int BITS_PER_SECOND = 16;
     /**
      * The number of audio channels in this format (1 for mono).
      */
     public static final int CHANNELS = 1;
     /**
      * The number of bytes in each frame of a sound that has this format (2).
      */
     public static final int FRAME_SIZE = 2;

     /**
      * Reads up to a specified maximum number of bytes of data from the audio
      * stream, putting them into the given byte array.
      *
      * @param b   the buffer into which the data is read
      * @param off the offset, from the beginning of array <code>b</code>, at which
      *            the data will be written
      * @param len the maximum number of bytes to read
      * @return the total number of bytes read into the buffer, or -1 if there
      * is no more data because the end of the stream has been reached
      */
     @Override
     public int read(byte[] b, int off, int len) {
         byte[] tempBuffer = new byte[len];
         int n = (int) this.pullStreamImpl.read(tempBuffer);
         for (int i = 0; i < n; i++) {
             if (off + i > b.length) {
                 throw new ArrayIndexOutOfBoundsException(b.length);
             }
             b[off + i] = tempBuffer[i];
         }
         if (n == 0) {
             return -1;
         }
         return n;
     }

     /**
      * Reads the next byte of data from the activity audio stream if available.
      *
      * @return the next byte of data, or -1 if the end of the stream is reached
      * @see #read(byte[], int, int)
      * @see #read(byte[])
      * @see #available
      * <p>
      */
     @Override
     public int read() {
         byte[] data = new byte[1];
         int temp = read(data);
         if (temp <= 0) {
             // we have a weird situation if read(byte[]) returns 0!
             return -1;
         }
         return data[0] & 0xFF;
     }

     /**
      * Reads up to a specified maximum number of bytes of data from the activity audio stream,
      * putting them into the given byte array.
      *
      * @param b the buffer into which the data is read
      * @return the total number of bytes read into the buffer, or -1 if there
      * is no more data because the end of the stream has been reached
      */
     @Override
     public int read(byte[] b) {
         int n = (int) pullStreamImpl.read(b);
         if (n == 0) {
             return -1;
         }
         return n;
     }

     /**
      * Skips over and discards a specified number of bytes from this
      * audio input stream.
      *
      * @param n the requested number of bytes to be skipped
      * @return the actual number of bytes skipped
      * @throws IOException if an input or output error occurs
      * @see #read
      * @see #available
      */
     @Override
     public long skip(long n) {
         if (n <= 0) {
             return 0;
         }
         if (n <= Integer.MAX_VALUE) {
             byte[] tempBuffer = new byte[(int) n];
             return read(tempBuffer);
         }
         long count = 0;
         for (long i = n; i > 0; i -= Integer.MAX_VALUE) {
             int size = (int) Math.min(Integer.MAX_VALUE, i);
             byte[] tempBuffer = new byte[size];
             count += read(tempBuffer);
         }
         return count;
     }

     /**
      * Closes this audio input stream and releases any system resources associated
      * with the stream.
      */
     @Override
     public void close() {
         this.pullStreamImpl.close();
     }

     /**
      * Fetch the audio format for the ActivityAudioStream. The ActivityAudioFormat defines the sample rate, bits per sample, and the # channels.
      *
      * @return instance of the ActivityAudioFormat associated with the stream
      */
     public ActivityAudioStream.ActivityAudioFormat getActivityAudioFormat() {
         return activityAudioFormat;
     }

     /**
      * Returns the maximum number of bytes that can be read (or skipped over) from this
      * audio input stream without blocking.
      *
      * @return the number of bytes that can be read from this audio input stream without blocking.
      * As this implementation does not buffer, this will be defaulted to 0
      */
     @Override
     public int available() {
         return 0;
     }

     public ActivityAudioStream(final PullAudioOutputStream stream) {
         pullStreamImpl = stream;
         this.activityAudioFormat = new ActivityAudioStream.ActivityAudioFormat(SAMPLE_RATE, BITS_PER_SECOND, CHANNELS, FRAME_SIZE, AudioEncoding.PCM_SIGNED);
     }

     private PullAudioOutputStream pullStreamImpl;

     private ActivityAudioFormat activityAudioFormat;

     /**
      * ActivityAudioFormat is an internal format which contains metadata regarding the type of arrangement of
      * audio bits in this activity audio stream.
      */
     static class ActivityAudioFormat {

         private long samplesPerSecond;
         private int bitsPerSample;
         private int channels;
         private int frameSize;
         private AudioEncoding encoding;

         public ActivityAudioFormat(long samplesPerSecond, int bitsPerSample, int channels, int frameSize, AudioEncoding encoding) {
             this.samplesPerSecond = samplesPerSecond;
             this.bitsPerSample = bitsPerSample;
             this.channels = channels;
             this.encoding = encoding;
             this.frameSize = frameSize;
         }

         /**
          * Fetch the number of samples played per second for the associated audio stream format.
          *
          * @return the number of samples played per second
          */
         public long getSamplesPerSecond() {
             return samplesPerSecond;
         }

         /**
          * Fetch the number of bits in each sample of a sound that has this audio stream format.
          *
          * @return the number of bits per sample
          */
         public int getBitsPerSample() {
             return bitsPerSample;
         }

         /**
          * Fetch the number of audio channels used by this audio stream format.
          *
          * @return the number of channels
          */
         public int getChannels() {
             return channels;
         }

         /**
          * Fetch the default number of bytes in a frame required by this audio stream format.
          *
          * @return the number of bytes
          */
         public int getFrameSize() {
             return frameSize;
         }

         /**
          * Fetch the audio encoding type associated with this audio stream format.
          *
          * @return the encoding associated
          */
         public AudioEncoding getEncoding() {
             return encoding;
         }
     }

     /**
      * Enum defining the types of audio encoding supported by this stream.
      */
     public enum AudioEncoding {
         PCM_SIGNED("PCM_SIGNED");

         String value;

         AudioEncoding(String value) {
             this.value = value;
         }
     }
 }

保存对 ActivityAudioStream 文件的更改。

生成并运行应用

选择 F11，或选择“运行”>“调试”。控制台会显示消息“请讲话”。此时，请讲出机器人理解的英语短语或句子。你的语音将通过 Direct Line Speech 通道传送到机器人，机器人将识别并处理你的语言，然后返回活动形式的响应。如果机器人返回了语音作为响应，则会使用 AudioPlayer 类播放音频。

成功识别后的控制台输出的屏幕截图

后续步骤

浏览 GitHub 上的 Java 示例

先决条件

在开始之前，请务必：

创建语音资源
设置开发环境并创建空项目
创建连接到 Direct Line Speech 通道的机器人
请确保你有权访问麦克风，以便进行音频捕获

注意

请参阅语音助手支持的区域列表，确保你的资源部署在其中一个区域中。

创建并配置项目

使用 Android Studio 安装语音 SDK。

创建用户界面

在本部分，我们将创建应用程序的基本用户界面 (UI)。首先让我们打开主活动：activity_main.xml。基本模板包含一个显示了应用程序名称的标题栏，以及一个显示了消息“Hello world!”的 TextView。

接下来，请将 activity_main.xml 的内容替换为以下代码：

<?xml version="1.0" encoding="utf-8"?>
<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
 xmlns:tools="http://schemas.android.com/tools"
 android:layout_width="match_parent"
 android:layout_height="match_parent"
 android:orientation="vertical"
 tools:context=".MainActivity">

 <Button
     android:id="@+id/button"
     android:layout_width="wrap_content"
     android:layout_height="wrap_content"
     android:layout_gravity="center"
     android:onClick="onBotButtonClicked"
     android:text="Talk to your bot" />

 <TextView
     android:layout_width="match_parent"
     android:layout_height="wrap_content"
     android:text="Recognition Data"
     android:textSize="18dp"
     android:textStyle="bold" />

 <TextView
     android:id="@+id/recoText"
     android:layout_width="match_parent"
     android:layout_height="wrap_content"
     android:text="  \n(Recognition goes here)\n" />

 <TextView
     android:layout_width="match_parent"
     android:layout_height="wrap_content"
     android:text="Activity Data"
     android:textSize="18dp"
     android:textStyle="bold" />

 <TextView
     android:id="@+id/activityText"
     android:layout_width="match_parent"
     android:layout_height="match_parent"
     android:scrollbars="vertical"
     android:text="  \n(Activities go here)\n" />

</LinearLayout>

此 XML 定义一个用来与机器人交互的简单 UI。

单击 button 元素后，它会启动交互，并调用 onBotButtonClicked 方法。
recoText 元素将显示你与机器人之间的对话的语音转文本结果。
activityText 元素将显示机器人中最新 Bot Framework 活动的 JSON 有效负载。

现在，UI 的文本和图形表示形式应如下所示：

“与机器人对话”UI 外观的屏幕截图。

添加示例代码

打开 MainActivity.java，将内容替换为以下代码：

 package samples.speech.cognitiveservices.microsoft.com;

 import android.media.AudioFormat;
 import android.media.AudioManager;
 import android.media.AudioTrack;
 import android.support.v4.app.ActivityCompat;
 import android.support.v7.app.AppCompatActivity;
 import android.os.Bundle;
 import android.text.method.ScrollingMovementMethod;
 import android.view.View;
 import android.widget.TextView;

 import com.microsoft.cognitiveservices.speech.audio.AudioConfig;
 import com.microsoft.cognitiveservices.speech.audio.PullAudioOutputStream;
 import com.microsoft.cognitiveservices.speech.dialog.BotFrameworkConfig;
 import com.microsoft.cognitiveservices.speech.dialog.DialogServiceConnector;

 import org.json.JSONException;
 import org.json.JSONObject;

 import static android.Manifest.permission.*;

 public class MainActivity extends AppCompatActivity {
     // Replace below with your own speech subscription key
     private static String speechSubscriptionKey = "YourSpeechSubscriptionKey";
     // Replace below with your own speech service region
     private static String serviceRegion = "YourSpeechServiceRegion";

     private DialogServiceConnector connector;

     @Override
     protected void onCreate(Bundle savedInstanceState) {
         super.onCreate(savedInstanceState);
         setContentView(R.layout.activity_main);

         TextView recoText = (TextView) this.findViewById(R.id.recoText);
         TextView activityText = (TextView) this.findViewById(R.id.activityText);
         recoText.setMovementMethod(new ScrollingMovementMethod());
         activityText.setMovementMethod(new ScrollingMovementMethod());

         // Note: we need to request permissions for audio input and network access
         int requestCode = 5; // unique code for the permission request
         ActivityCompat.requestPermissions(MainActivity.this, new String[]{RECORD_AUDIO, INTERNET}, requestCode);
     }

     public void onBotButtonClicked(View v) {
         // Recreate the DialogServiceConnector on each button press, ensuring that the existing one is closed
         if (connector != null) {
             connector.close();
             connector = null;
         }

         // Create the DialogServiceConnector from speech subscription information
         BotFrameworkConfig config = BotFrameworkConfig.fromSubscription(speechSubscriptionKey, serviceRegion);
         connector = new DialogServiceConnector(config, AudioConfig.fromDefaultMicrophoneInput());

         // Optional step: preemptively connect to reduce first interaction latency
         connector.connectAsync();

         // Register the DialogServiceConnector's event listeners
         registerEventListeners();

         // Begin sending audio to your bot
         connector.listenOnceAsync();
     }

     private void registerEventListeners() {
         TextView recoText = (TextView) this.findViewById(R.id.recoText); // 'recoText' is the ID of your text view
         TextView activityText = (TextView) this.findViewById(R.id.activityText); // 'activityText' is the ID of your text view

         // Recognizing will provide the intermediate recognized text while an audio stream is being processed
         connector.recognizing.addEventListener((o, recoArgs) -> {
             recoText.setText("  Recognizing: " + recoArgs.getResult().getText());
         });

         // Recognized will provide the final recognized text once audio capture is completed
         connector.recognized.addEventListener((o, recoArgs) -> {
             recoText.setText("  Recognized: " + recoArgs.getResult().getText());
         });

         // SessionStarted will notify when audio begins flowing to the service for a turn
         connector.sessionStarted.addEventListener((o, sessionArgs) -> {
             recoText.setText("Listening...");
         });

         // SessionStopped will notify when a turn is complete and it's safe to begin listening again
         connector.sessionStopped.addEventListener((o, sessionArgs) -> {
         });

         // Canceled will be signaled when a turn is aborted or experiences an error condition
         connector.canceled.addEventListener((o, canceledArgs) -> {
             recoText.setText("Canceled (" + canceledArgs.getReason().toString() + ") error details: {}" + canceledArgs.getErrorDetails());
             connector.disconnectAsync();
         });

         // ActivityReceived is the main way your bot will communicate with the client and uses bot framework activities.
         connector.activityReceived.addEventListener((o, activityArgs) -> {
             try {
                 // Here we use JSONObject only to "pretty print" the condensed Activity JSON
                 String rawActivity = activityArgs.getActivity().serialize();
                 String formattedActivity = new JSONObject(rawActivity).toString(2);
                 activityText.setText(formattedActivity);
             } catch (JSONException e) {
                 activityText.setText("Couldn't format activity text: " + e.getMessage());
             }

             if (activityArgs.hasAudio()) {
                 // Text to speech audio associated with the activity is 16 kHz 16-bit mono PCM data
                 final int sampleRate = 16000;
                 int bufferSize = AudioTrack.getMinBufferSize(sampleRate, AudioFormat.CHANNEL_OUT_MONO, AudioFormat.ENCODING_PCM_16BIT);

                 AudioTrack track = new AudioTrack(
                         AudioManager.STREAM_MUSIC,
                         sampleRate,
                         AudioFormat.CHANNEL_OUT_MONO,
                         AudioFormat.ENCODING_PCM_16BIT,
                         bufferSize,
                         AudioTrack.MODE_STREAM);

                 track.play();

                 PullAudioOutputStream stream = activityArgs.getAudio();

                 // Audio is streamed as it becomes available. Play it as it arrives.
                 byte[] buffer = new byte[bufferSize];
                 long bytesRead = 0;

                 do {
                     bytesRead = stream.read(buffer);
                     track.write(buffer, 0, (int) bytesRead);
                 } while (bytesRead == bufferSize);

                 track.release();
             }
         });
     }
 }

onCreate 方法包含的代码可请求麦克风和 Internet 权限。
如前所述，onBotButtonClicked 方法是按钮单击处理程序。按下某个按钮会触发与机器人之间的单一交互（“轮次”）。
registerEventListeners 方法演示 DialogServiceConnector 使用的事件和传入活动的基本处理方式。

在同一文件中，请替换配置字符串，使之与资源相匹配：
- 将 YourSpeechSubscriptionKey 替换为订阅密钥。
- 将 YourServiceRegion 替换为与你的订阅关联的区域。目前，Direct Line Speech 仅支持一部分语音服务区域。有关详细信息，请参阅区域。

生成并运行应用

将 Android 设备连接到开发电脑。确保已在设备上启用开发模式和 USB 调试。
若要生成应用程序，请按 Ctrl+F9，或者从菜单栏中选择“生成”>“生成项目” 。
若要启动应用程序，请按 Shift+F10 或选择“运行”>“运行‘应用’” 。
在出现的部署目标窗口中，选择 Android 设备。

启动应用程序及其活动后，请单击该按钮开始与机器人对话。当你讲话时，会显示听录的文本，并显示从机器人收到的最新活动。如果机器人配置为提供语音响应，则会自动播放语音转文本结果。

Android 应用程序的屏幕截图

后续步骤

浏览 GitHub 上的 Java 示例

可以在 GitHub 上查看或下载所有语音 SDK Go 示例。

先决条件

准备工作：

创建语音资源
设置开发环境并创建空项目
创建连接到 Direct Line Speech 通道的机器人
请确保你有权访问麦克风，以便进行音频捕获

注意

请参阅语音助手支持的区域列表，确保你的资源部署在其中一个区域中。

设置你的环境

通过添加以下行，使用最新的 SDK 版本更新 go.mod 文件

require (
    github.com/Microsoft/cognitive-services-speech-sdk-go v1.15.0
)

从一些样本代码入手

将源文件（例如 quickstart.go）的内容替换为以下内容，其中包括：

“主要”包定义
从语音 SDK 导入所需的模块
用于存储机器人信息的变量，本快速入门的后面部分会替换该信息
使用麦克风进行音频输入的简单实现
在语音交互期间发生的各种事件的事件处理程序

package main

import (
    "fmt"
    "time"

    "github.com/Microsoft/cognitive-services-speech-sdk-go/audio"
    "github.com/Microsoft/cognitive-services-speech-sdk-go/dialog"
    "github.com/Microsoft/cognitive-services-speech-sdk-go/speech"
)

func main() {
    subscription :=  "YOUR_SUBSCRIPTION_KEY"
    region := "YOUR_BOT_REGION"

    audioConfig, err := audio.NewAudioConfigFromDefaultMicrophoneInput()
    if err != nil {
        fmt.Println("Got an error: ", err)
        return
    }
    defer audioConfig.Close()
    config, err := dialog.NewBotFrameworkConfigFromSubscription(subscription, region)
    if err != nil {
        fmt.Println("Got an error: ", err)
        return
    }
    defer config.Close()
    connector, err := dialog.NewDialogServiceConnectorFromConfig(config, audioConfig)
    if err != nil {
        fmt.Println("Got an error: ", err)
        return
    }
    defer connector.Close()
    activityReceivedHandler := func(event dialog.ActivityReceivedEventArgs) {
        defer event.Close()
        fmt.Println("Received an activity.")
    }
    connector.ActivityReceived(activityReceivedHandler)
    recognizedHandle := func(event speech.SpeechRecognitionEventArgs) {
        defer event.Close()
        fmt.Println("Recognized ", event.Result.Text)
    }
    connector.Recognized(recognizedHandle)
    recognizingHandler := func(event speech.SpeechRecognitionEventArgs) {
        defer event.Close()
        fmt.Println("Recognizing ", event.Result.Text)
    }
    connector.Recognizing(recognizingHandler)
    connector.ListenOnceAsync()
    <-time.After(10 * time.Second)
}

用语音资源中的实际值替换 YOUR_SUBSCRIPTION_KEY 值和 YOUR_BOT_REGION 值。

导航到 Azure 门户，然后打开语音资源
在左侧的“密钥和终结点”下，有两个可用的订阅密钥
- 使用其中的任一密钥来替换 YOUR_SUBSCRIPTION_KEY 值
在左侧的“概览”下，记下该区域并将其映射到区域标识符
- 使用区域标识符来替换 YOUR_BOT_REGION 值，例如：使用 "westus" 来替换“美国西部”
注意

请参阅语音助手支持的区域列表，确保你的资源部署在其中一个区域中。

注意

有关配置机器人的信息，请参阅 Direct Line Speech 通道的 Bot Framework 文档。

代码说明

需要语音订阅密钥和区域才能创建语音配置对象。实例化语音识别器对象需要配置对象。

识别器实例公开了多种用于识别语音的方法。在此示例中持续识别语音。此功能告知语音服务，你要发送许多需识别的短语，并在程序终止时停止识别语音。生成结果后，代码会将它们写入控制台。

生成并运行

现在，可以使用语音服务生成项目并测试自定义语音助手。

生成项目，例如 "go build"
运行模块并对着设备的麦克风讲出一个短语或句子。你的语音将传输到 Direct Line Speech 通道并转录为文本，该文本会显示为输出。

注意

语音 SDK 默认识别 en-us 语言。若要了解如何选择源语言，请参阅如何识别语音。

后续步骤

浏览 GitHub 上的 Go 示例

其他语言和平台支持

如果已单击此选项卡，则可能看不到采用你偏好的编程语言的快速入门。别担心，我们在 GitHub 上提供了其他快速入门材料和代码示例。使用表格查找适用于编程语言和平台/OS 组合的相应示例。

语言	代码示例
C#	.NET Framework、.NET Core、UWP、Unity
C++	Windows、Linux、macOS
Java	Android、JRE
JavaScript	Browser、Node.js
Objective-C	iOS、macOS
Python	Windows、Linux 和 macOS
Swift	iOS、macOS

通过

快速入门：创建自定义语音助手

先决条件

在 Visual Studio 中打开项目

从一些样本代码入手

生成并运行应用

后续步骤

先决条件

创建并配置项目

添加示例代码

生成并运行应用

后续步骤

先决条件

创建并配置项目

创建用户界面

添加示例代码

生成并运行应用

后续步骤

先决条件

设置你的环境

从一些样本代码入手

代码说明

生成并运行

后续步骤

其他语言和平台支持

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