Real time speaker recognition from Internet radio

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 based on four 1-hour length public debates acquired from the Internet radio. 7-8 speakers (including one presenter) participated in the recordings. The speaker recognition was performed on short utterances to facilitate real time processing. The time of speech for each speaker has been calculated with the use of the Gaussian mixture model (GMM) algorithm. An influence of MPEG layer 3 compression algorithm on mel frequency cepstral coefficients (MFCC's) has been described. An analysis of the neighborhood of the speaker models have been done with the use of the ISOMAP algorithm.