| Abstract [eng] |
ČIULADIS, Paulius (2011) Speaker Recognition Using Stationary Part of Phoneme. Master's thesis report. Kaunas: Vilnius University, Kaunas Faculty of Humanities, Department of Computer Science. 48psl Master's thesis is - Set a fixed part or phonemes specific to a particular speaker characteristics, which enables it to identify or determine which group (men or women) are. Towards the goal of this work, the following objectives: 1) analyze the broadcaster 's use of fixed recognition of phonemes, the isolated kepsrinių factors support "scientific topic, 2) Develop and prepare the necessary records announcers identification group, and 3) create different phonemes staconarios announcers of the nature of isolation and comparison of algorithms; 4) To perform the experiment with records prepared by using an algorithm, 5) to analyze the experiments, the results achieved. Distinguishing between phonemes used in the fixed part of the segmentation method. Phonemic segments of the signal selected for further analysis of the spectrum lies kepstriniai secreted factors (MDKK). After realizing the objectives set and the experiment narrator recognition by fragments of the stationary phonemes kepstrinius distinguishing factors of the first test to identify the correct speaker wire just 26.3% of all cases by sex and even the 91.8% accuracy. Under identical to pronounce the phonemes in the context of distinguishing between fixed fragments kepstrinius coefficients of the second test correctly identified the speaker wire just 8.5% of all cases by sex and 62.7% accuracy. The third test of the different characteristics of kepstrinius is only a maximum of 1.7% (5.11 times lower). Sex recognition accuracy (second test reached 62.7%) in comparison to the individual characteristics. Decrease from 1.09 times (using the character 9) and 1.26-fold (by 26 character). |
