Add to ORKGRecently, we have been investigating the application of kernel methods to improve the performance of eigenvoice-based adaptation methods by exploiting possible nonlinearity in their original working space. We proposed the kernel eigenvoice adaptation (KEV) in [1], and the kernel eigenspace-based MLLR adaptation (KEMLLR) in [2]. In KEMLLR, speaker-dependent MLLR transformation matrices are mapped to a kernel-induced high dimensional feature space, and kernel principal component analysis (KPCA) is used to derive a set of eigenmatrices in the feature space. A new speaker is then represented by a linear combination of the leading eigenmatrices. In this paper, we further improve KEMLLR by the use of multiple regression classes and the quasiNew...
We have been investigating the use of kernel methods to im-prove conventional linear adaptation algo...
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation ...
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation...
Recently, we have been investigating the application of kernel methods to improve the performance of...
Eigenspace-based MLLR (EMLLR) adaptation has been shown effective for fast speaker adaptation. It ap...
Eigenspace-based MLLR (EMLLR) adaptation has been shown effective for fast speaker adaptation. It ap...
In this paper, we propose an application of kernel methods for fast speaker adaptation based on, ker...
This paper proposes a nonlinear generalization of the popular maximum-likelihood linear regression (...
Eigenvoice (EV) speaker adaptation has been shown effective for fast speaker adaptation when the amo...
Eigenvoice-based methods have been shown to be effective for fast speaker adaptation when only a sma...
Eigenvoice-based methods have been shown to be effective for fast speaker adaptation when the amount...
Eigenvoice-based methods have been shown to be effective for fast speaker adaptation when the amount...
Eigenvoice-basedmethods have been shown to be effective for fast speaker adaptation when only a'smal...
This paper presents our recent effort on the development of the eigenspace-based linear transformati...
We have been investigating the use of kernel methods to improve conventional linear adaptation algor...
We have been investigating the use of kernel methods to im-prove conventional linear adaptation algo...
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation ...
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation...
Recently, we have been investigating the application of kernel methods to improve the performance of...
Eigenspace-based MLLR (EMLLR) adaptation has been shown effective for fast speaker adaptation. It ap...
Eigenspace-based MLLR (EMLLR) adaptation has been shown effective for fast speaker adaptation. It ap...
In this paper, we propose an application of kernel methods for fast speaker adaptation based on, ker...
This paper proposes a nonlinear generalization of the popular maximum-likelihood linear regression (...
Eigenvoice (EV) speaker adaptation has been shown effective for fast speaker adaptation when the amo...
Eigenvoice-based methods have been shown to be effective for fast speaker adaptation when only a sma...
Eigenvoice-based methods have been shown to be effective for fast speaker adaptation when the amount...
Eigenvoice-based methods have been shown to be effective for fast speaker adaptation when the amount...
Eigenvoice-basedmethods have been shown to be effective for fast speaker adaptation when only a'smal...
This paper presents our recent effort on the development of the eigenspace-based linear transformati...
We have been investigating the use of kernel methods to improve conventional linear adaptation algor...
We have been investigating the use of kernel methods to im-prove conventional linear adaptation algo...
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation ...
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation...