言语信息处理的进展  

The Research Progress of Speech Information Processing

作　　者：蔡莲红[1] 贾珈[1] 郑方[2] 

机构地区：[1]清华大学计算机科学与技术系,普适计算教育部重点实验室,清华信息科学与技术国家实验室(筹),北京100084 [2]清华大学信息技术研究院语音和语言技术中心,北京100084

出　　处：《中文信息学报》2011年第6期137-141,共5页Journal of Chinese Information Processing

基　　金：国家自然科学基金资助项目(61003094,60928005,60805008)

摘　　要：该文介绍了言语信息处理的进展,特别提到汉语言语处理的现状。言语信息处理涉及到言语识别、说话人识别、言语合成、言语知觉计算等。带口音和随意发音的言语识别有力的支持了语言学习与口语水平测评等应用;跨信道、环境噪音、多说话人、短语音、时变语音等因素存在的情况下提高识别正确率,是说话人识别的研究热点;言语合成主要关注多语言合成、情感言语合成、可视言语合成等;言语知觉计算开展了言语测听、噪声抑制算法、助听器频响补偿方法、语音信号增强算法等研究。将言语处理技术与语言、网络有效结合,促进了更加和谐的人机言语交互。This paper introduces the progress of speech information processing,especially the researches on Chinese speech processing.Speech information processing includes speech recognition,speaker recognition,speech synthesis and computational speech perception.Researches on speech recognition with accent and personal style support the systems of language learning and evaluation,while speaker recognition focuses on how to improve the performance in different conditions.Researches on speech synthesis pay more attention on cross-language,emotional and audio-visual speech synthesis.Fomputational speech perception focuses on the implementation on speech testing and rehabilitation,denoising,and speech enhancement.Through these researches,especially the combination of speech information processing,linguistics and web technology,we can build more harmonious human-computer speech interaction system.

关 键 词：言语识别 说话人识别 言语合成 言语知觉计算 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]