.png){kind=icon}
返回
Fractional Fourier transform based features for speaker recognition using support vector machine
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compeleceng.2012.05.011.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a text-independent speaker recognition technique in which the conventional Fourier transform in Mel-Frequency Cepstral Coefficient (MFCC) front-end is substituted by fractional Fourier transform. Support Vector Machine (SVM) maps these input features into a high-dimensional space to separate classes by a hyperplane with enhanced discrimination capability. SVM based on mean-squared error classifier produces more accurate system. The Fractional Fourier Transform (FrFT) reveals the mixed time and frequency components of the signal. Modelling of speech signals as mixed time and frequency signals represents better production and perception speech characteristics. Processing of time-varying signals in fractional Fourier domain allows us to estimate the signal with least Mean Square Error (MSE) making the technique robust against additive noise compared to Fourier domain maintaining same computational complexity. The feasibility of the proposed technique has been tested experimentally using Texas Instruments and Massachusetts Institute of Technology (TIMIT) and Shri Guru Gobind Singhji (SGGS) databases. The experimental results show the superiority of the proposed method. (C) 2012 Elsevier Ltd. All rights reserved.
Keyword:
VERIFICATION
SPEECH
MODELS
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
机构
引用论文
.png){kind=icon}
Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning基于聚类、分类与关联规则相结合的方法在E-learning中的课程推荐系统
OAAI
OAAI分享收藏Integrating Spectral Information and Meteorological Data to Monitor Wheat Yellow Rust at a Regional Scale: A Case Study整合光谱信息和气象数据以监测区域尺度的小麦黄锈病: 案例研究
OAAI
OAAI分享收藏分享收藏分享收藏Predictors of Congenital Syphilis From a Regional Health System in Louisiana先天性梅毒的预测因子：来自路易斯安那州区域卫生系统的数据
PREAI
分享收藏分享收藏
查看更多内容