T/CES 277-2024 Active Group standards

T/CES 277-2024 Power AI sample augmentation technology architecture requirements

Publish Date: 2024-05-08 Implement Date: 2024-05-10 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/CES 277-2024

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: Electronic components and information technology

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2024-05-08

Implement Date: 2024-05-10

Scope

Scope: This standard specifies the overall architecture of power artificial intelligence sample augmentation technology, image-based sample augmentation technology, text document-based sample augmentation technology, and audio-based sample augmentation technology, among other related technologies. It also sets requirements for evaluating the effectiveness of sample augmentation, formulating sample augmentation strategies, and arranging and implementing sample augmentation operators and functions. This standard applies to the augmentation of power artificial intelligence samples in the form of images, text, and audio. Main technical content: (1) Scope: This standard specifies the overall architecture of power artificial intelligence sample augmentation technology, image-based sample augmentation technology, text document-based sample augmentation technology, and audio-based sample augmentation technology, among other related technologies. It also sets requirements for evaluating the effectiveness of sample augmentation, formulating sample augmentation strategies, and arranging and implementing sample augmentation operators and functions. This standard applies to the augmentation of power artificial intelligence samples in the form of images, text, and audio. (2) Normative references: This standard does not have any normative references. (3) Terms and definitions: This includes definitions such as power artificial intelligence, power artificial intelligence samples, noise, speech recognition, signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR), perceptual speech quality evaluation (PESQ), and sample augmentation operators. (4) Abbreviations: This includes abbreviations such as OCR (optical character recognition), GAN (generative adversarial network), SNR, PSNR, and PESQ. (5) Overall architecture of power sample augmentation technology: This specifies the overall architecture of power artificial intelligence sample augmentation technology and