听觉模型与语音信号处理方法的研究-《计算机技术与发展》

文章信息/Info

Author(s):: LIU Jing-jie; ZHANG Gang; WU Shu-hong; [1]College of Computer Science and Technology,Taiyuan University of Technology[2]College of Information Engineering,Taiyuan University of Technology

Keywords:: linear prediction analysis techniques; acoustic characteristics; auditory characteristics

摘要:: 在通信领域中,语音编码是语音信号处理的重要分支。为了适合信道传输,语音必须变换形式,基于承载信息并且保留信号,尽可能地处理。在当今的通信、计算机网络等应用领域中,具备低延迟、低码率两大特性的语音编码算法,发挥着决定性作用。在语音编码中,线性预测分析技术主要应用在感觉加权滤波器、综合滤波器及对数增益滤波器,该技术发挥着关键作用。文中的工作是呈现出一种混合LPC（Auditory-Acoustic-Hybrid-LPC）系数,它结合声学特性与听觉特性,以便提高编码后合成语音的听觉质量,这对编码算法的钻研有积极意义

Abstract:: In the field of communication,speech coding is an important branch of speech signal processing.It reserves the signal carrying the information,based on the maximum degree of its processing,it transforms into a suitable form of transmission channels.In the today＇s society,speech coding algorithms with low bit rate and low delay,plays a key role in the communication,computer networks and many other applications.In the speech coding,feeling weighted filters,synthesis filters,logarithmic gain filters are related to the linear prediction analysis techniques,which plays a central role in the voice processing.The main work of this paper is to propose a combination of acoustic features and auditory features of the mixed LPC coefficients（Auditory-Acoustic-Hybrid-LPC）,making the audio quality of the encoded synthetic voice improved,which has a positive meaning to the research of coding algorithm