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听障口语者语料库、语音信息库建设初探

李瑶 薛静 赵倩 蒋春 张艳玲 孙静 于丽玫 邢亚静

中国听力语言康复科学杂志2026,Vol.24Issue(3):236-240,5.
中国听力语言康复科学杂志2026,Vol.24Issue(3):236-240,5.DOI:10.3969/j.issn.1672-4933.2026.03.004

听障口语者语料库、语音信息库建设初探

A Preliminary Study on the Construction of a Speech Corpus and Voice Information Database for Hearing-Impaired Speakers

李瑶 1薛静 1赵倩 1蒋春 1张艳玲 1孙静 1于丽玫 1邢亚静1

作者信息

  • 1. 中国听力语言康复科学杂志社 北京 100029
  • 折叠

摘要

Abstract

Speech data from hearing-impaired speakers constitute a fundamental resource for research on hearing-impaired speech feature analysis and AI-driven voice restoration technologies.China has a large population of hearing-impaired individuals,among whom many use spoken language as their primary means of communication.However,dedicated speech data for Mandarin-speaking hearing-impaired individuals have long been lacking in quantity,standardized norms,and sharing mechanisms,which has become a critical bottleneck hindering the deployment of AI-based rehabilitation technologies.In response to the current lack of systematic standards for hearing-impaired speech data construction,this paper reviews relevant theories and practices from both domestic and international sources,and analyzes the localization challenges faced in China.On this basis,this paper proposes leveraging artificial intelligence technologies to promote the systematic,standardized,and intelligent construction of hearing-impaired speech databases through the establishment of industry standards,the development of human-AI collaborative workflows,the creation of tiered open data sharing mechanisms,and the acceleration of interdisciplinary talent cultivation.This study aims to provide methodological references for the systematic construction of speech data resources for hearing-impaired individuals in China.

关键词

听障口语者/语料库/语音信息库/人工智能/声音修复/数据共享

Key words

Hearing-impaired speakers/Speech corpus/Voice information database/AI-powered/Speech restoration/Data sharing

分类

医药卫生

引用本文复制引用

李瑶,薛静,赵倩,蒋春,张艳玲,孙静,于丽玫,邢亚静..听障口语者语料库、语音信息库建设初探[J].中国听力语言康复科学杂志,2026,24(3):236-240,5.

基金项目

2024年中国残联课题"人工智能声音修复技术在听障人士病理腔调中的修复"(2024CDPFHS-10) (2024CDPFHS-10)

中国听力语言康复科学杂志

1672-4933

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