EBF网络特征映射和恢复及其在鲁棒话者识别中的应用 |
| |
引用本文: | 李昕,郑宇,江芳泽.EBF网络特征映射和恢复及其在鲁棒话者识别中的应用[J].上海大学学报(英文版),2002,6(4). |
| |
作者姓名: | 李昕 郑宇 江芳泽 |
| |
作者单位: | 李昕,江芳泽(School of Electromechanical Engineering and Automation, Shanghai University, Shanghai 200072, China);郑宇(School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China) |
| |
摘 要: |
|
Feature Mapping and Recuperation by Using Elliptical Basis Function Networks for Robust Sipeaker Verification |
| |
Abstract: | The performance of speaker verification systems is often compromised under real-world environments. For example, variations in handset characteristics could cause severe performance degradation. This paper presents a novel method to overcome this problem by using a non-linear handset mapper. Under this method, a mapper is constructed by training an elliptical basis function network using distorted speech features as inputs and the corresponding clean features as the desired outputs. During feature recuperation, clean features are recovered by feeding the distorted features to the feature mapper. The recovered features are then presented to a speaker model as if they were derived from clean speech. Experimental evaluations based on 258 speakers of the TIMIT and NTIMIT corpuses suggest that the feature mappers improve the verification performance remarkably. |
| |
Keywords: | feature mapping and recurpuration elliptical basis function (EBF) networks speaker verification |
本文献已被 万方数据 等数据库收录! |
|