Add to ORKGAbstract. This paper presents a simple speaker identication and classi-cation algorithm. The algorithm uses features from the frequency domain and simple Euclidian distance for comparison. More specically, the fea-tures for each voice sample are 5 pitch estimators constructed using cepstral coecients. The algorithm was tested in a trial test with a collection of 10 speakers and achieved acceptable results. 1
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
Abstract—Speaker recognition is the process of automatically recognising the speaker on the basis of...
In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It ...
Motivation for Speaker recognition work is presented in the first part of the thesis. An exhaustive ...
This paper presents a method of speech recognition by pattern recognition techniques. Learning consi...
Abstract The purpose of this paper is to develop a speaker recognition system which can recognize sp...
Automatic speaker recognition is the use of a machine (i.e. software or hardware) to recognize a per...
This paper presents a novel feature extraction method to improve the performance of speaker identifi...
Speech signal can be decomposed into two parts: the source part and the system part. The system par...
This paper proposes a new textindependent speaker identification method based on histogram classifie...
We are presenting a new method that improves the accuracy of text dependent speaker identification s...
Abstract This paper gives an overview of speaker recognition systems. Speaker recognition is the tas...
Presented paper takes interest in a speaker identification problem. The attributes representing voic...
Abstract- In this paper, a literature survey on Different algorithms used for Automatic Speaker Reco...
This paper is aimed to implement a robust speaker identification system. It is a software architectu...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
Abstract—Speaker recognition is the process of automatically recognising the speaker on the basis of...
In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It ...
Motivation for Speaker recognition work is presented in the first part of the thesis. An exhaustive ...
This paper presents a method of speech recognition by pattern recognition techniques. Learning consi...
Abstract The purpose of this paper is to develop a speaker recognition system which can recognize sp...
Automatic speaker recognition is the use of a machine (i.e. software or hardware) to recognize a per...
This paper presents a novel feature extraction method to improve the performance of speaker identifi...
Speech signal can be decomposed into two parts: the source part and the system part. The system par...
This paper proposes a new textindependent speaker identification method based on histogram classifie...
We are presenting a new method that improves the accuracy of text dependent speaker identification s...
Abstract This paper gives an overview of speaker recognition systems. Speaker recognition is the tas...
Presented paper takes interest in a speaker identification problem. The attributes representing voic...
Abstract- In this paper, a literature survey on Different algorithms used for Automatic Speaker Reco...
This paper is aimed to implement a robust speaker identification system. It is a software architectu...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
Abstract—Speaker recognition is the process of automatically recognising the speaker on the basis of...
In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It ...