Add to ORKGIn this paper we propose a new architecture for speaker recognition. This architecture is independent of the text, robust with the presence of noise, and is based on the Self Organizing Maps (SOM) [1]. We compare the performance of this architecture for different parametrizations, different signal to noise ratios, with another method for speaker identification based on the arithmetic-harmonic spherity measure on covariance matrices [2],[3].Peer Reviewe
AbstractA new technique for text-independent speaker recognition for noisy speech is presented. This...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
International audienceSpeech perception and recognition using biologically inspired models is a chal...
In this paper we propose a new architecture for speaker recognition. This architecture is independen...
We propose an architecture for speaker recognition. This architecture is independent of the text, ro...
The present paper introduces a novel speaker modeling technique for text-independent speaker identif...
The present paper introduces a novel speaker modeling technique for text-independent speaker identif...
In the past few years, there has been much noteworthy advancement in artificial neural networks. One...
In this paper, robust text-independent speaker recognition is taken into consideration. The proposed...
The Self-Organizing Map (SOM) is widely applied for data clustering and visualization. In this paper...
Projetar máquinas capazes identificar pessoas é um problema cuja solução encontra uma grande quantid...
This paper presents methods to improve the probability density estimation in hidden Markov models fo...
In this paper, the ensemble of support vector machines is applied to text-independent speaker recogn...
Abstract — This research uses a modified self-organized map to look for similarities and differences...
This book discusses speaker recognition methods to deal with realistic variable noisy environments. ...
AbstractA new technique for text-independent speaker recognition for noisy speech is presented. This...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
International audienceSpeech perception and recognition using biologically inspired models is a chal...
In this paper we propose a new architecture for speaker recognition. This architecture is independen...
We propose an architecture for speaker recognition. This architecture is independent of the text, ro...
The present paper introduces a novel speaker modeling technique for text-independent speaker identif...
The present paper introduces a novel speaker modeling technique for text-independent speaker identif...
In the past few years, there has been much noteworthy advancement in artificial neural networks. One...
In this paper, robust text-independent speaker recognition is taken into consideration. The proposed...
The Self-Organizing Map (SOM) is widely applied for data clustering and visualization. In this paper...
Projetar máquinas capazes identificar pessoas é um problema cuja solução encontra uma grande quantid...
This paper presents methods to improve the probability density estimation in hidden Markov models fo...
In this paper, the ensemble of support vector machines is applied to text-independent speaker recogn...
Abstract — This research uses a modified self-organized map to look for similarities and differences...
This book discusses speaker recognition methods to deal with realistic variable noisy environments. ...
AbstractA new technique for text-independent speaker recognition for noisy speech is presented. This...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
International audienceSpeech perception and recognition using biologically inspired models is a chal...