计算机与数字工程2026，Vol.54Issue(3)：607-611,5.DOI:10.3969/j.issn.1672-9722.2026.03.004
基于LPC和基音周期的方言语音合成改进算法
Improved Dialect Speech Synthesis Algorithm Based on LPC and Pitch Period
摘要
Abstract
Aiming at the serious loss of vocal parameter information and poor synthesis effect in Ankang dialect speech synthe-sis using linear prediction coefficient(LPC),an improved speech synthesis algorithm combining LPC and pitch period is proposed.On the basis of the traditional algorithm,the improved agent-extended pitch detection algorithm is used to extract the pitch parame-ters of the speech signal.Then the calculation accuracy is improved by gating and amplifying the excitation source model.Finally,through the filter model controlled by excitation pulse sequence parameters and resonance peak parameters,the synthesized Ankang dialect speech signal is better obtained.According to the experimental results,the improved algorithm in this paper can reduce the root mean square error(RMSE)by 7.14%compared with the traditional algorithm,and has an ideal synthesis effect.The synthe-sized pitch period and voice waveform are observed and analyzed.The improved algorithm in this paper can preserve more content and details of Ankang dialect voice signal.关键词
语音合成/基音周期/线性预测系数/主体-延伸法/安康方言Key words
speech synthesis/pitch period/linear prediction coefficient/subject-extension method/Ankang dialect分类
信息技术与安全科学引用本文复制引用
佘石豪,牟莉..基于LPC和基音周期的方言语音合成改进算法[J].计算机与数字工程,2026,54(3):607-611,5.基金项目
陕西省2020年技术创新引导专项(基金)计划(编号:2020CGXNG-026)资助. （基金）
