# WIA-AI-022: Speech Recognition Standard 🎙️

> **홍익인간 (弘益人間)** - *Benefit All Humanity*

A comprehensive standard for speech recognition systems that serve all languages, dialects, and use cases.

## Overview

WIA-AI-022 defines specifications for building accurate, efficient, and accessible speech recognition systems. This standard covers everything from basic audio processing to advanced features like speaker diarization, multilingual support, and real-time streaming.

### Key Features

- 🎯 **High Accuracy**: >95% accuracy across diverse conditions
- 🌍 **Multilingual**: Support for 100+ languages
- ⚡ **Low Latency**: <100ms for real-time applications
- 👥 **Speaker Diarization**: Identify and separate multiple speakers
- 🔒 **Privacy-Preserving**: Secure, encrypted processing options
- 📱 **Cross-Platform**: Web, mobile, server, and edge devices

## Quick Start

### Installation

```bash
# TypeScript/JavaScript
npm install @wia/speech

# Python
pip install wia-speech

# Go
go get github.com/wia-official/wia-speech-go
```

### Basic Usage

```typescript
import { WIASpeech } from '@wia/speech';

// Initialize
const asr = new WIASpeech({
  apiKey: 'your-api-key',
  language: 'en-US'
});

// Transcribe audio file
const result = await asr.transcribeFile('audio.wav');

console.log(result.text);
console.log(`Confidence: ${result.confidence}`);
```

### Streaming Example

```typescript
// Create stream
const stream = asr.createStream({
  interimResults: true,
  language: 'ko-KR'
});

// Handle results
stream.on('data', (result) => {
  console.log(result.isFinal ? 'Final:' : 'Interim:', result.text);
});

// Send audio chunks
for (const chunk of audioChunks) {
  await stream.write(chunk);
}

const final = await stream.end();
```

## Project Structure

```
speech-recognition/
├── index.html              # Landing page
├── simulator/              # Interactive demo
│   └── index.html
├── ebook/                  # Complete guides
│   ├── en/                # English (8 chapters)
│   │   ├── chapter1-introduction.md
│   │   ├── chapter2-asr-fundamentals.md
│   │   ├── chapter3-acoustic-models.md
│   │   ├── chapter4-language-models.md
│   │   ├── chapter5-end-to-end-systems.md
│   │   ├── chapter6-multilingual-asr.md
│   │   ├── chapter7-streaming-asr.md
│   │   ├── chapter8-production-deployment.md
│   │   └── index.html
│   └── ko/                # Korean (8 chapters)
│       ├── chapter1-introduction.md
│       └── index.html
├── spec/                  # Technical specifications
│   ├── PHASE1.md         # Foundation
│   ├── PHASE2.md         # Advanced Features
│   ├── PHASE3.md         # Intelligence
│   └── PHASE4.md         # Ecosystem Integration
├── api/                   # SDKs
│   └── typescript/
│       ├── src/
│       │   ├── types.ts
│       │   └── index.ts
│       └── package.json
└── README.md             # This file
```

## Features by Phase

### PHASE 1: Foundation

Core ASR functionality:

- ✅ Audio input (8kHz-48kHz, multiple formats)
- ✅ Feature extraction (MFCC, mel spectrogram)
- ✅ Voice Activity Detection
- ✅ Basic transcription API
- ✅ 4+ language support
- ✅ WER <20%, RTF <1.0

### PHASE 2: Advanced Features

Enhanced capabilities:

- ✅ Speaker diarization (2-10 speakers)
- ✅ Noise reduction (SNR +10dB)
- ✅ Automatic punctuation & formatting
- ✅ 20+ language support
- ✅ Confidence scoring
- ✅ Custom vocabulary
- ✅ N-best hypotheses

### PHASE 3: Intelligence

AI-powered understanding:

- 🚧 Intent recognition
- 🚧 Named Entity Recognition (NER)
- 🚧 Sentiment analysis
- 🚧 Semantic similarity
- 🚧 Keyword extraction
- 🚧 Topic classification
- 🚧 Automatic summarization

### PHASE 4: Ecosystem Integration

Connected services:

- 📋 WIA ecosystem (INTENT, OMNI-API, SOCIAL)
- 📋 Cloud storage (AWS, GCP, Azure)
- 📋 Webhooks & message queues
- 📋 Multi-tenancy
- 📋 Batch processing
- 📋 Analytics & telemetry

Legend: ✅ Complete | 🚧 In Development | 📋 Planned

## Documentation

### eBooks

Comprehensive guides covering all aspects of speech recognition:

- **English Edition** ([View Online](ebook/en/))
  - Chapter 1: Introduction to Speech Recognition
  - Chapter 2: ASR Fundamentals
  - Chapter 3: Acoustic Models
  - Chapter 4: Language Models
  - Chapter 5: End-to-End Systems
  - Chapter 6: Multilingual ASR
  - Chapter 7: Streaming ASR
  - Chapter 8: Production Deployment

- **Korean Edition** ([온라인 보기](ebook/ko/))
  - 제1장: 음성 인식 소개
  - 제2장: ASR 기초
  - 제3장: 음향 모델
  - 제4장: 언어 모델
  - 제5장: 엔드투엔드 시스템
  - 제6장: 다국어 ASR
  - 제7장: 스트리밍 ASR
  - 제8장: 프로덕션 배포

### Interactive Simulator

Try the technology in your browser: [Launch Simulator](simulator/)

Features:
- 🎯 ASR Demo
- 🌍 Language Detection
- 👤 Speaker Identification
- 🔇 Noise Reduction
- ⚡ Real-time Transcription

### Technical Specifications

Detailed implementation requirements:

- [PHASE 1: Foundation](spec/PHASE1.md)
- [PHASE 2: Advanced Features](spec/PHASE2.md)
- [PHASE 3: Intelligence](spec/PHASE3.md)
- [PHASE 4: Ecosystem Integration](spec/PHASE4.md)

## API Reference

### Core API

```typescript
interface ASREngine {
  // File transcription
  transcribeFile(path: string, options?: TranscriptionOptions): Promise<TranscriptionResult>;

  // Buffer transcription
  transcribe(buffer: ArrayBuffer, options?: TranscriptionOptions): Promise<TranscriptionResult>;

  // Streaming
  createStream(options?: StreamOptions): TranscriptionStream;

  // Language detection
  detectLanguage(buffer: ArrayBuffer): Promise<LanguageDetection>;

  // Intelligence features (PHASE 3)
  extractEntities(text: string): Promise<Entity[]>;
  recognizeIntent(text: string): Promise<Intent>;
  analyzeSentiment(text: string): Promise<Sentiment>;
}
```

### Configuration

```typescript
interface ASRConfig {
  apiKey?: string;
  endpoint?: string;
  language?: LanguageCode;
  audio?: AudioConfig;
  vad?: VADConfig;
}

interface TranscriptionOptions {
  language?: LanguageCode;
  diarization?: boolean;
  numSpeakers?: number | 'auto';
  punctuation?: boolean;
  capitalization?: boolean;
  alternatives?: number;
  vocabulary?: string[];
}
```

## Performance Benchmarks

| Metric | PHASE 1 | PHASE 2 | PHASE 3 |
|--------|---------|---------|---------|
| WER (clean) | <20% | <10% | <5% |
| WER (noisy, SNR 10dB) | - | <25% | <15% |
| Latency (offline) | <5s | <2s | <1s |
| Real-time Factor | <1.0 | <0.5 | <0.3 |
| Languages | 4+ | 20+ | 50+ |
| Diarization Error Rate | - | <25% | <15% |

## Use Cases

### Voice Assistants

```typescript
const assistant = new VoiceAssistant(asr);

const response = await assistant.process(audioInput);
// "Set alarm for 7 AM" → alarm created
```

### Live Captioning

```typescript
const captioner = new LiveCaptioner(asr, {
  language: 'en-US',
  maxLatency: 500
});

captioner.on('caption', (text, timestamp) => {
  displayCaption(text, timestamp);
});
```

### Meeting Transcription

```typescript
const result = await asr.transcribeFile('meeting.wav', {
  diarization: true,
  numSpeakers: 'auto',
  punctuation: true
});

result.diarization.segments.forEach(segment => {
  console.log(`[${segment.speakerId}] ${segment.text}`);
});
```

### Call Center Analytics

```typescript
const analytics = await asr.transcribe(callRecording, {
  sentiment: true,
  keywords: true,
  topics: true
});

console.log(`Sentiment: ${analytics.sentiment.label}`);
console.log(`Topics: ${analytics.topics.map(t => t.name)}`);
```

## Supported Languages

PHASE 1 (4+ required):
- English (en-US, en-GB)
- Spanish (es-ES)
- Mandarin (zh-CN)
- Japanese (ja-JP)
- Korean (ko-KR)

PHASE 2 (20+ required):
- French (fr-FR), German (de-DE), Italian (it-IT)
- Portuguese (pt-BR), Russian (ru-RU)
- Arabic (ar-SA), Hindi (hi-IN)
- Dutch (nl-NL), Turkish (tr-TR), Polish (pl-PL)
- Swedish (sv-SE), Norwegian (no-NO), Danish (da-DK)
- Finnish (fi-FI), Greek (el-GR), Hebrew (he-IL)
- Thai (th-TH), Vietnamese (vi-VN), Indonesian (id-ID)
- Czech (cs-CZ), Hungarian (hu-HU)

## Contributing

We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md).

### Areas for Contribution

- 🌍 Language support expansion
- 📚 Documentation improvements
- 🧪 Test coverage
- 🐛 Bug fixes
- ✨ New features

## Testing

```bash
# Run tests
npm test

# Run with coverage
npm run test:coverage

# Integration tests
npm run test:integration

# Performance benchmarks
npm run benchmark
```

## License

MIT License - see [LICENSE](LICENSE)

## Support

- **Documentation**: https://wia.ai/standards/speech-recognition
- **Issues**: https://github.com/WIA-Official/wia-standards/issues
- **Discord**: https://discord.gg/wia-community
- **Email**: support@wia.ai

## Acknowledgments

This standard builds upon decades of research in speech recognition:

- CMU Sphinx, Kaldi, and other open-source ASR systems
- Research from leading institutions worldwide
- Contributions from the global ASR community
- Feedback from developers and users

## Roadmap

### Q1 2025
- ✅ PHASE 1 & 2 complete
- 🚧 PHASE 3 in development
- 📋 Mobile SDK releases

### Q2 2025
- ✅ PHASE 3 complete
- 🚧 PHASE 4 in development
- 📋 Edge device support

### Q3 2025
- ✅ PHASE 4 complete
- 📋 Federated learning
- 📋 100+ language support

### Q4 2025
- 📋 On-device ASR
- 📋 Ultra-low latency (<50ms)
- 📋 Multimodal integration

## Related Standards

- [WIA-INTENT](../WIA-INTENT/) - Intent understanding
- [WIA-OMNI-API](../WIA-OMNI-API/) - Universal API gateway
- [WIA-SOCIAL](../WIA-SOCIAL/) - Social network integration
- [WIA-AI-POWER](../WIA-AI-POWER/) - Computational resources
- [WIA-AI-SHIELD](../WIA-AI-SHIELD/) - Security & privacy

---

**홍익인간 (弘益人間)** - *Benefit All Humanity*

Through speech recognition technology, we break down barriers of literacy, mobility, and accessibility, ensuring that everyone can interact with technology naturally through their voice.

© 2025 SmileStory Inc. / WIA

World Certification Industry Association