GB/T 41813.2-2022 in English
VALIDInformation technology—Intelligent speech interaction testing method—Part 2: Semantic understanding
- Issued on:2022-10-12
- Implemented on:2023-05-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
Price(USD):
$250.00
$243.00
$243.00
| Standard No: | GB/T 41813.2-2022 |
| Document status: | VALID |
| Title in English: | Information technology—Intelligent speech interaction testing method—Part 2: Semantic understanding |
| Title in Chinese: | 信息技术 智能语音交互测试方法 第2部分:语义理解 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2022-10-12 |
| Implemented on: | 2023-05-01 |
| ICS Classification: | 35.240.01-Applications of information technology in general |
| Chinese Classification: | L77-Software engineering |
| Professional Classification: | GB-National Standard |
| Related Topics: | understand
test voice intelligent voice mutual understanding voice interaction Intelligent Voice Interaction GB/T 41813.2 GB/T 41813.2-2022 Information Technology Intelligent Voice Interaction Test Method Part 2 Smart Voice Technology Security Intelligent voice test The latest national standard for intelligent voice Voice interaction test Voice interaction industry Voice product testing Voice interaction acoustic performance testing |
《GB/T 41813.2-2022信息技术 智能语音交互测试方法 第2部分:语义理解》由TC28(全国信息技术标准化技术委员会)归口,TC28SC35(全国信息技术标准化技术委员会用户界面分会)执行,主管部门为国家标准化管理委员会。
Introduction
Analysis of the core technology framework
| Test dimensions | Functional indicators | Performance parameters |
|---|---|---|
| Basic language processing | Named entity recognition accuracy ≥ 97% | Average response time <200ms |
| Dialogue management | Multi-round dialogue success rate ≥ 90% | Context delay fluctuation <15% |
| Security compliance | Sensitive information recognition rate ≥ 99.5% | False alarm rate <0.3% |
Functional testing system
Core module testing specifications
- Fuzzy recognition test: requires maintaining 83% or more intent fidelity
- Natural language generation evaluation must include 4 types of typical scenario response templates
- Multi-round dialogues must achieve historical inheritance capability verification for up to 7 rounds
Performance evaluation model
Understanding efficiency indicator system
Response time partition: no less than 75% within 100ms
Throughput benchmark: ≥3500 characters/second
Sample only — not a preview of GB/T 41813.2-2022

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