IEC TR 63558:2025 PDF

Name: IEC TR 63558:2025 — Automatic speech recognition: Classification according to acoustic and linguistic indicators in real-life applications
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Automatic speech recognition: Classification according to acoustic and linguistic indicators in real-life applications

Название (английский):

IEC TR 63558:2025

Automatic speech recognition: Classification according to acoustic and linguistic indicators in real-life applications

Статус документа:: Действующий
Формат:: Электронный (PDF)
Количество страниц:: 14
Дата публикации:: 14 января 2025 г.
Издание:: IEC TR 63558 edition 1 version 1
ICS:: 33.160.01

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Описание (английский):

IEC TR 63558:2025 describes the factors related to classification of the real-life environment according to acoustic indicators and linguistic indicators. The set of factors can be used to describe complexities of use scenarios, from level 1 to 4, and can be helpful when setting up the testing environment. This document applies for evaluating automatic speech recognition technology which is widely used for smart equipment, such as smart speakers

Abstract

Похожие стандарты

Стандарты, упомянутые в описании

Overview

IEC TR 63558:2025 - Automatic Speech Recognition: Classification according to Acoustic and Linguistic Indicators in Real-life Applications is a technical report published by the International Electrotechnical Commission (IEC). This document provides a structured framework for classifying real-life environments according to key acoustic and linguistic indicators, supporting the evaluation and testing of automatic speech recognition (ASR) technologies. The classification system described by IEC TR 63558:2025 is especially relevant for smart devices such as smart speakers, smart service robots, and other consumer electronics that rely on effective human-machine voice interaction.

By standardizing the factors and complexity levels of common use-scenarios, IEC TR 63558:2025 aims to address the challenges posed by diverse real-world environments and improve the accuracy and reliability of ASR systems.

Key Topics

Acoustic Indicators: IEC TR 63558 outlines various environmental acoustic factors that influence ASR performance:

Signal-to-Noise Ratio (SNR): The clarity of speech input relative to background noise.
Reflections and Reverberation: The impact of environmental echoes and sound persistence.
Data Compression: Effects of audio data compression rates on recognition and system response.

Linguistic Indicators: The document defines language-related variables affecting ASR:

Syntactical Structure: The range from limited (fixed sentence patterns) to unrestrained (natural, flowing language).
Vocabulary List Size: The number of words the system can process.
Homonyms and Multilingual Words: Handling words with similar pronunciations and mixed languages.
Speaking Speed, Accent, and Behavior: Variability in speech delivery, regional or social language traits, and speaker habits (e.g., stuttering, long pauses).

Complexity Levels: Use scenarios are classified into four levels (L1-L4) based on the demands they place on ASR technology:

L1: Simple, controlled environments and speech patterns.
L4: Complex, noisy, and unpredictable scenarios with challenging linguistic features.

Testing Environments: Guidance on creating representative test scenarios, including typical background noises and device-placement considerations, is included to reflect real-world conditions.

Applications

ASR systems are widely integrated into daily life through:

Smart Devices: Smart speakers, TVs, home automation, and other consumer electronics.

Automotive Systems: Voice-activated navigation, in-car assistants, and hands-free control.

Healthcare: Medical dictation, patient data entry, and real-time transcription.

Customer Service: Automated call centers, AI chatbots, and real-time voice-to-text transcription.

Security: Voice-based authentication systems for access control.

By applying the classification framework found in IEC TR 63558:2025, developers and testers can:

More accurately assess and compare different ASR products.

Design test environments that mirror real-life operational conditions.

Identify factors limiting ASR accuracy and adapt models or training data accordingly.

Reference standardized criteria during product development and quality assurance.

Related Standards

Several international standards and committees are closely related to IEC TR 63558:2025:

IEC Technical Committee 29: Focuses on electroacoustic measurement standards (e.g., IEC 61094 for microphones, IEC 61252 for sound exposure meters).

IEC Technical Committee 100: Addresses standards for audio, video, and multimedia systems (e.g., IEC 60268 series).

ISO/IEC JTC 1/SC 35: Develops standards for user-system interfaces in ICT environments, including accessibility and multilingual adaptability.

ISO/IEC 24661: Specifies user interfaces for full duplex speech interaction, supporting natural, conversational human-machine interfaces.

Recognizing and referencing these standards alongside IEC TR 63558:2025 empowers organizations to develop robust, interoperable, and user-friendly ASR systems suitable for dynamic real-life environments.

IEC TR 63558:2025 PDF

Abstract

Похожие стандарты

Overview

Key Topics

Applications

Related Standards

Технические детали

IEC 61094-3:2016/COR1:2016

Corrigendum 1 - Electroacoustics - Measurement microphones - Part 3: Primary method for free-field calibratio…

IEC 61252:2025

Electroacoustics - Personal sound exposure meters

IEC 60268-7:2010/COR1:2012

Corrigendum 1 - Sound system equipment - Part 7: Headphones and earphones

ISO/IEC 24661:2023

Information technology — User interfaces — Full duplex speech interaction