鸿蒙5全局快捷指令中心开发实战：多设备场景化快捷方式同步 原创

鸿蒙5会议纪要自动生成器开发实战：多设备协同语音转写与智能摘要

一、项目概述与架构设计

本会议纪要生成器基于鸿蒙5的AI能力和分布式技术实现，主要功能包括：
多设备分布式语音采集

实时语音转文字（ASR）

AI自动生成会议摘要

多设备同步编辑与分享

技术架构图

┌─────────────┐ ┌─────────────┐ ┌─────────────┐
手机设备 │ │ 平板设备 │ │ 电脑设备 │

┌────────┐ │ │ ┌────────┐ │ │ ┌────────┐ │

│ 语音采集 │─┼───▶│ │ 文本处理 │ │ │ │ 纪要编辑 │ │

└────────┘ │ │ └────────┘ │ │ └────────┘ │

└───────┬─────┘ └───────┬─────┘ └───────┬─────┘
│ │

    └─────────┬────────┴─────────┬────────┘

│

      ┌───────▼───────┐   ┌───────▼───────┐

分布式数据服务 │ │ AI云服务 │

      └───────────────┘   └───────────────┘

二、核心代码实现
分布式语音采集服务

// AudioCaptureService.ets
import audio from ‘@ohos.multimedia.audio’;
import distributedData from ‘@ohos.data.distributedData’;

export class AudioCaptureService {
private audioCapturer: audio.AudioCapturer;
private kvStore: distributedData.KVStore;
private readonly CHUNK_SIZE = 1024 * 4; // 4KB数据块

async init() {
// 配置音频采集参数
const config: audio.AudioCapturerConfig = {
sampleRate: 16000,
channels: 1,
format: audio.AudioFormat.FORMAT_PCM_16BIT,
encoding: audio.AudioEncoding.ENCODING_PCM
};

this.audioCapturer = await audio.createAudioCapturer(config);

// 初始化分布式数据
const kvManager = await distributedData.createKVManager({
  bundleName: 'com.example.meetingnotes'
});
this.kvStore = await kvManager.getKVStore('audio_data_store', {
  createIfMissing: true,
  autoSync: true
});

async startCapture(meetingId: string) {

await this.audioCapturer.start();

const buffer = new ArrayBuffer(this.CHUNK_SIZE);
while (this.isCapturing) {
  const readResult = await this.audioCapturer.read(buffer);
  
  // 分发音频数据到其他设备
  await this.kvStore.put(
    audio_{meetingId}_{Date.now()}, 
    buffer
  );
  
  // 本地语音识别
  this.asrService.processAudioChunk(buffer);

}

async stopCapture() {
await this.audioCapturer.stop();
}

语音转写与摘要服务

// MeetingNotesService.ets
import asr from ‘@ohos.ai.asr’;
import nlp from ‘@ohos.ai.nlp’;

export class MeetingNotesService {
private asrEngine: asr.AsrEngine;
private nlpEngine: nlp.NlpEngine;
private transcript: string = ‘’;

async init() {
// 初始化语音识别引擎
this.asrEngine = await asr.createAsrEngine({
language: ‘zh-CN’,
feature: asr.AsrFeature.FEATURE_WORD_FLUX
});

// 初始化NLP引擎
this.nlpEngine = await nlp.createNlpEngine({
  model: 'meeting_summary',
  version: '1.0'
});

async processAudioChunk(buffer: ArrayBuffer) {

const input: asr.AsrInput = {
  data: buffer,
  audioFormat: {
    sampleRate: 16000,
    channelCount: 1

};

const result = await this.asrEngine.recognize(input);
if (result.text) {
  this.transcript += result.text + '\n';
  this.syncTranscript();

}

async generateSummary(): Promise<string> {
const input: nlp.NlpInput = {
text: this.transcript,
task: nlp.NlpTask.SUMMARIZATION
};

const result = await this.nlpEngine.process(input);
return result.summary;

private async syncTranscript() {

const kvManager = await distributedData.createKVManager({
  bundleName: 'com.example.meetingnotes'
});
const kvStore = await kvManager.getKVStore('transcript_store');

await kvStore.put('current_transcript', this.transcript);

}

多设备同步编辑组件

// MeetingNotesEditor.ets
@Entry
@Component
struct MeetingNotesEditor {
@State transcript: string = ‘’;
@State summary: string = ‘’;
@State participants: Participant[] = [];

private syncService = new MeetingSyncService();

aboutToAppear() {
this.syncService.subscribeTranscript(this.handleTranscriptUpdate.bind(this));
this.loadParticipants();
build() {

Column() {
  // 参会者列表
  ParticipantList({ participants: this.participants })
  
  // 转录文本区域
  Scroll() {
    Text(this.transcript)
      .fontSize(16)
      .padding(10)

.height(‘40%’)

  .border({ width: 1, color: '#EEEEEE' })
  
  // 摘要区域
  TextEditor({ text: this.summary })
    .height('30%')
    .onChange((newText: string) => {
      this.summary = newText;
      this.syncService.syncSummary(newText);
    })
  
  // 控制按钮
  ActionButtons({
    onGenerateSummary: this.generateSummary.bind(this),
    onSave: this.saveNotes.bind(this)
  })

}

private handleTranscriptUpdate(newTranscript: string) {
this.transcript = newTranscript;
private async generateSummary() {

const notesService = new MeetingNotesService();
this.summary = await notesService.generateSummary();

}

三、关键技术创新点
多设备语音同步算法

// 音频数据时间同步
private synchronizeAudioStreams(streams: AudioStream[]) {
// 1. 计算时间偏移
const timestamps = streams.map(s => s.packets[0].timestamp);
const baseTime = Math.min(…timestamps);

// 2. 对齐音频流
const aligned = streams.map(stream => {
const offset = stream.packets[0].timestamp - baseTime;
return {
…stream,
packets: stream.packets.map(p => ({
…p,
timestamp: p.timestamp - offset
}))
};
});

// 3. 混合多路音频
return this.mixAudioStreams(aligned);

智能摘要生成优化

// 会议摘要增强算法
private enhanceSummary(transcript: string): string {
// 1. 关键点提取
const keyPoints = this.nlpEngine.extractKeyPoints(transcript);

// 2. 决策项识别
const decisions = this.findDecisions(transcript);

// 3. 任务项提取
const tasks = this.extractActionItems(transcript);

// 4. 结构化摘要生成
return
## 会议摘要

### 关键讨论点
${keyPoints.join('\n    - ')}

### 达成决议
${decisions.join('\n    - ')}

### 待办事项
{tasks.map(t => - {t.assignee}: ${t.task}).join('\n    ')}

;

分布式编辑冲突解决

// 协同编辑冲突处理
private handleEditConflict(current: string, incoming: string): string {
// 1. 识别编辑区域
const diff = this.calculateDiff(current, incoming);

// 2. 应用操作转换
const transformed = this.transformOperations(diff);

// 3. 合并变更
return this.applyChanges(current, transformed);
// 操作转换算法

private transformOperations(diff: DiffResult): EditOperation[] {
return diff.changes.map(change => {
if (change.type === ‘insert’) {
return {
type: ‘insert’,
position: this.adjustPosition(change.position),
text: change.text
};
else {

  return {
    type: 'delete',
    from: this.adjustPosition(change.from),
    to: this.adjustPosition(change.to)
  };

});

四、性能优化方案
音频处理流水线

// 音频预处理优化
private preprocessAudio(buffer: ArrayBuffer): ArrayBuffer {
// 1. 降噪处理
const denoised = this.audioProcessor.applyNoiseReduction(buffer);

// 2. 语音增强
const enhanced = this.audioProcessor.enhanceSpeech(denoised);

// 3. 音量归一化
return this.audioProcessor.normalizeVolume(enhanced);

增量式语音识别

// 增量识别处理
private async processIncremental(buffer: ArrayBuffer) {
// 1. 缓存音频数据
this.audioBuffer = this.concatBuffers(this.audioBuffer, buffer);

// 2. 达到处理阈值时触发识别
if (this.audioBuffer.byteLength >= this.CHUNK_SIZE) {
const result = await this.asrEngine.recognize({
data: this.audioBuffer.slice(0, this.CHUNK_SIZE)
});

if (result.text) {
  this.updateTranscript(result.text);
  this.audioBuffer = this.audioBuffer.slice(this.CHUNK_SIZE);

}

自适应网络传输

// 网络质量自适应
private adjustForNetwork(quality: NetworkQuality) {
switch(quality) {
case ‘excellent’:
this.audioConfig.bitrate = 128000;
this.syncInterval = 1000;
break;
case ‘good’:
this.audioConfig.bitrate = 64000;
this.syncInterval = 2000;
break;
case ‘poor’:
this.audioConfig.bitrate = 32000;
this.syncInterval = 5000;
break;
}

五、完整UI组件实现
参会者管理组件

// ParticipantManager.ets
@Component
struct ParticipantManager {
@State participants: Participant[] = [];
@State newParticipant: string = ‘’;

private syncService = new MeetingSyncService();

build() {
Column() {
// 添加参会者
Row() {
TextInput({ placeholder: ‘输入参会者姓名’ })
.onChange((text: string) => {
this.newParticipant = text;
})

    Button('添加')
      .onClick(() => this.addParticipant())

// 参会者列表

  List() {
    ForEach(this.participants, (participant) => {
      ListItem() {
        ParticipantItem({ participant })

})

.height(‘60%’)

}

private addParticipant() {
if (this.newParticipant.trim()) {
this.participants = [
…this.participants,
id: Date.now().toString(),

      name: this.newParticipant,
      deviceId: deviceInfo.deviceId

];

  this.syncService.syncParticipants(this.participants);
  this.newParticipant = '';

}

实时转录展示组件

// LiveTranscript.ets
@Component
struct LiveTranscript {
@Prop transcript: string;
@State highlightedText: string = ‘’;

build() {
Column() {
// 实时转录文本
Scroll() {
RichText(this.createRichTextNodes())
.height(‘70%’)

  // 当前说话人
  Text(this.highlightedText)
    .fontColor('#FF5722')
    .margin({ top: 10 })

}

private createRichTextNodes(): RichTextNode[] {
const segments = this.transcript.split(‘\n’);
return segments.map(segment => {
const isCurrentSpeaker = segment.startsWith(‘[当前用户]’);
return {
content: segment + ‘\n’,
style: {
color: isCurrentSpeaker ? ‘#FF5722’ : ‘#333333’,
fontWeight: isCurrentSpeaker ? ‘bold’ : ‘normal’
};

});

}

六、项目部署与测试
权限配置

在module.json5中添加：

“requestPermissions”: [
“name”: “ohos.permission.MICROPHONE”

},
“name”: “ohos.permission.DISTRIBUTED_DATASYNC”

},
“name”: “ohos.permission.INTERNET”

},
“name”: “ohos.permission.ACCESS_AI”

]

测试方案

// 语音识别测试
describe(‘SpeechRecognition’, () => {
it(‘should transcribe speech to text’, async () => {
const service = new MeetingNotesService();
await service.init();

const testAudio = await loadTestAudio('meeting_clip.pcm');
await service.processAudioChunk(testAudio);

expect(service.transcript).toContain('项目进度');

});
});

// 协同编辑测试
describe(‘CollaborativeEditing’, () => {
it(‘should merge edits from multiple devices’, async () => {
const device1 = new MockEditorDevice(‘device1’);
const device2 = new MockEditorDevice(‘device2’);

await device1.insertText('Hello');
await device2.insertText('World');

expect(device1.getText()).toEqual('HelloWorld');
expect(device2.getText()).toEqual('HelloWorld');

});
});

七、总结与扩展

本方案实现了：
多设备分布式语音采集系统

高精度实时语音转写

AI驱动的智能摘要生成

多用户协同编辑能力

扩展方向：
添加多语言翻译支持

集成会议录音回放功能

开发智能待办事项跟踪

对接日历和邮件系统

鸿蒙的分布式能力与AI服务的结合，为会议效率工具开发提供了全新可能。开发者可基于此项目框架，进一步探索更智能的协作办公场景。