The paper presents an analysis of speaker activity in online recordings from the Internet
radio. The proposed system has been developed in the Matlab environment. Our research is …

In this paper we present an automatic speaker recognition technique with the use of the
Internet radio lossy (encoded) speech signal streams. We show an influence of the audio …

The idea of the Speaker Recognition Project is to implement a recognizer which can identify
a person by processing his/her voice. The basic goal of the project is to recognize and …

Speech feature extraction is the most significant step in any Automatic speaker recognition
system. In the last 60 years a lot of research has gone into parametric representation of …

This paper presents the design of a text independent speaker recognition system based on
Mel-Frequency Cepstrum Coefficients and Gaussian Mixture Models. HTK speech …

In this study, which was carried out using a combination of machine learning and sound
processing methods, a speaker recognition system and application were developed using …

The area of speaker recognition is concerned with extracting the identity of the person
speaking. Speaker recognition can be classified into speaker identification and speaker …

Speaker recognition has received for many years the attention of researchers working in the
field of signal processing, but has not yet been implemented as a reliable feature in widely …

The idea of the AUDIO SIGNAL PROCESSING (Speaker Recognition [4] Project) is to
implement a recognizer using Matlab which can identify a person by processing his/her …

Gaussian Mixture models is one of the most popular statistical methods in speaker
recognition. The purpose of this research is to perform experiments of speaker recognition …