计算机应用 ›› 2017, Vol. 37 ›› Issue (8): 2416-2420.DOI: 10.11772/j.issn.1001-9081.2017.08.2416

• 应用前沿、交叉与综合 • 上一篇    下一篇

用于隐马尔可夫模型语音带宽扩展的激励分段扩展方法

郭雷勇1, 李宇1, 林胜义1, 谭洪舟2   

  1. 1. 广东药科大学 医药信息工程学院, 广州 510006;
    2. 中山大学 电子与信息工程学院, 广州 510006
  • 收稿日期:2017-02-28 修回日期:2017-04-13 出版日期:2017-08-10 发布日期:2017-08-12
  • 通讯作者: 郭雷勇
  • 作者简介:郭雷勇(1973-),男,湖南郴州人,讲师,博士,主要研究方向:语音带宽扩展、物联网感知;李宇(1977-),男,广东增城人,副教授,博士,主要研究方向:语音信号处理、交织采样系统失真修正;林胜义(1990-),男,广东汕头人,工程师,硕士,研究方向:语音信号带宽扩展与编码;谭洪舟(1965-),男,重庆人,教授,博士生导师,博士,研究方向:通信信号与系统、集成电路设计。
  • 基金资助:
    国家自然科学基金资助项目(61473322,81570904)。

Excitation piecewise expansion method for speech bandwidth expansion based on hidden Markov model

GUO Leiyong1, LI Yu1, LIN Shengyi1, TAN Hongzhou2   

  1. 1. College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou Guangdong 510006, China;
    2. School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou Guangdong 510006, China
  • Received:2017-02-28 Revised:2017-04-13 Online:2017-08-10 Published:2017-08-12
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61473322,81570904).

摘要: 语音带宽扩展通过人为恢复窄带语音的频谱带宽来提高语音听觉质量。针对源滤波器扩展模型的激励扩展问题,提出一种分段扩展方法。该方法在扩展带的低频段与高频段部分分别采用窄带激励源的高频部分与帧能量等效的白噪声作为激励信号,最后两者与原窄带激励组成宽带激励信号。基于隐马尔可夫模型(HMM)谱包络估计的宽带语音重构实验结果表明:该方法降低了重建语音的失真度,恢复重建的语音信号优于谱平移激励扩展方法。

关键词: 语音带宽扩展, 分段扩展, 谱平移, 激励信号, 隐马尔可夫模型

Abstract: Speech bandwidth expansion is used to enhance the auditory quality by artificially recovering the lost components in the high-band spectrum of narrow-band speech. Aiming at the problem of excitation expansion in speech source-filter extension model, a piecewise extension method was proposed. The higher spectrum part in the narrow-band excitation source and the white noise with the equivalent narrow-band excitation frame energy were used as the excitation sources for the lower and upper part of the extension band respectively. At last, the wideband excitation signal was composed of the above two and the original narrow band one. Experimental results of the wide band speech reconstruction with Hidden Markov Model (HMM) based spectrum envelope estimation show that the proposed method is superior to spectrum shift excitation expansion method.

Key words: speech bandwidth extension, piecewise extension, spectrum shift, excitation signal, Hidden Markov Model (HMM)

中图分类号: