语言声学智能化的思考与探索  

Thinking and exploration into intellectualization of speech and medical acoustics

作　　者：颜永红[1,2] 程高峰 YAN YongHong;CHENG GaoFeng(Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院声学研究所,北京100190 [2]中国科学院大学,北京100049

出　　处：《中国科学：物理学、力学、天文学》2022年第4期58-67,共10页Scientia Sinica Physica,Mechanica & Astronomica

基　　金：北京市科学技术委员会(编号:Z211100002521020)资助项目。

摘　　要：人工智能的热潮正在席卷各行各业,声学领域也在进行声学智能化的探索,即如何实现声学技术与人工智能技术的有机融合和应用.本文着重以语言声学为例,同时结合医疗声学,首先分析声学智能化所面临的数据稀缺性、算法自主性、算力依赖性、系统安全性以及人才短缺等重大挑战,进而对与之相关的关键技术进行总结,探讨可能的解决方案.在此基础之上,回顾近年来国内外智能声学方面的主要研究进展,并总结国内智能语音的产业化应用发展历程.最后对声学智能化的发展方向和趋势做出展望,针对智能语音和医疗声学方面的具体问题提出发展建议.As the artificial intelligence boom sweeps across all walks of life, researchers are also intellectualizing the area of acoustics. Taking speech and medical acoustics as examples, we first analyzed the significant challenges faced by acoustic intelligence, including data scarcity, algorithm independence, computing power dependence, security, and talent shortage. We also summarized important relevant technology and discussed prospective remedies. Furthermore, we reviewed the recent major scientific advances in speech and medical acoustics, both at home and abroad, and summarized the development history of the domestic intelligent voice industries. Finally, we look forward to the directions and trends of intellectual speech and medical acoustics and provide suggestions for specific issues in these fields.

关 键 词：语言声学 声学智能化 医疗声学 

分 类 号：TN912.3[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]