Add to ORKGIn practical applications of pattern recognition, there are often different features extracted from raw data used for identification. Methods of combining multiple classifiers with different features are viewed as a general problem in various application areas. In this paper some statistical methods based on mixtures of experts models able to combine classifiers and different feature sets are illustrated and applied to the text-independent speaker recognition problem. The comparison takes place on the basis of a dataset composed of more then 50 vocal signals (Italian speakers, phone calls recording)
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identifi...
One of the main ways of controlling accesses and developing security in cybernetics in order to prot...
Linear Opinion Pools is a popular class of method for Combining Multiple Classifiers, which includes...
In practical applications of pattern recognition, there are often different features extracted from ...
In practical applications of pattern recognition, there are often different features extracted from ...
In practical applications of pattern recognition, there are often different features extracted from ...
In practical applications of pattern recognition, there are often different features extracted from ...
In practical applications of pattern recognition, there are often different features extracted from ...
Speaker recognition can be considered as a subset of the more general area known as pattern recognit...
Speaker recognition is theprocess of automatically recognizing who is spea- king based on informatio...
This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. Th...
Given a speech signal there are two kinds of information that may be extracted from it. On one hand ...
This article presents an overview of several measures for speaker recognition. These measures relate...
Information from speech recognition can be used in various ways in state-of-the-art speaker recognit...
In this work, I investigated structured approaches to data selection for speaker recognition, with a...
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identifi...
One of the main ways of controlling accesses and developing security in cybernetics in order to prot...
Linear Opinion Pools is a popular class of method for Combining Multiple Classifiers, which includes...
In practical applications of pattern recognition, there are often different features extracted from ...
In practical applications of pattern recognition, there are often different features extracted from ...
In practical applications of pattern recognition, there are often different features extracted from ...
In practical applications of pattern recognition, there are often different features extracted from ...
In practical applications of pattern recognition, there are often different features extracted from ...
Speaker recognition can be considered as a subset of the more general area known as pattern recognit...
Speaker recognition is theprocess of automatically recognizing who is spea- king based on informatio...
This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. Th...
Given a speech signal there are two kinds of information that may be extracted from it. On one hand ...
This article presents an overview of several measures for speaker recognition. These measures relate...
Information from speech recognition can be used in various ways in state-of-the-art speaker recognit...
In this work, I investigated structured approaches to data selection for speaker recognition, with a...
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identifi...
One of the main ways of controlling accesses and developing security in cybernetics in order to prot...
Linear Opinion Pools is a popular class of method for Combining Multiple Classifiers, which includes...