| 基于伽马通滤波器组的听觉特征提取算法研究 |
| |
| 引用本文： | 王玥,钱志鸿,王雪,程光明.基于伽马通滤波器组的听觉特征提取算法研究[J].电子学报,2010,38(3):525-528. |
| |
| 作者姓名： | 王玥 钱志鸿 王雪 程光明 |
| |
| 作者单位： | 1.吉林大学，吉林长春130025;2.国家知识产权局，北京100190 |
| |
| 摘 要： | 本文从模拟人类听觉角度出发,给出了基于人耳耳蜗听觉模型的伽马通滤波器组模型,测试语音通过该滤波器组输出得到了高维听觉特征向量.经过主成分分析和离散余弦变换,分别得到了可用于表征说话人的伽马通系数和伽马通滤波器倒谱系数及其衍生特征.实验证明,与传统梅尔倒谱特征相比,采用本文提出特征的说话人识别系统在识别率及鲁棒性上均有明显提高.
|
| 关 键 词： | 语音信号处理 伽马通滤波器 听觉特征提取 倒谱系数 |
| 收稿时间： | 2009-02-23 |
An Auditory Feature Extraction Algorithm Based on γ-Tone Filter-Banks |
| |
| WANG Yue,QIAN Zhi-hong,WANG Xue,CHENG Guang-ming.An Auditory Feature Extraction Algorithm Based on γ-Tone Filter-Banks[J].Acta Electronica Sinica,2010,38(3):525-528. |
| |
| Authors: | WANG Yue QIAN Zhi-hong WANG Xue CHENG Guang-ming |
| |
| Affiliation: | 1. Jilin University，Changchun，Jilin130025，China;2. State Intellectual Property Office of the PRC，Beijing 100190，China |
| |
| Abstract: | By means of emulating human auditory,gamma-Tone filter-banks models based on the auditory system in human cochlea are presented.The speech to be detected goes through the gamma-Tone filter-banks,thereby multi-dimension eigenvectors are obtained.By PCA(principal component analysis)and DCT(discrete cosine transform),it is yielded to represent a speaker's gamma-Tone coefficients,gamma-Tone filter-banks cepstral coefficients respectively and their derivative features as well.Compared to the ordinary Mel-frequen... |
| |
| Keywords: | speech signal processing gammatone filter auditory feature extraction cepstral coefficients |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《电子学报》浏览原始摘要信息 |
|
点击此处可从《电子学报》下载全文 |
