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Development of Structure for Text-Independent Speaker Identification System
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УДК: 004.89:004.93
Мова публікації: Російська
Stuc. intelekt. 2012; 17; (4):161-171
Анотація: In the article, principal technologies used in the creation of speaker identification systems and difficulties faced by their developers are considered. The structure of text-independent speaker identification using automatic segmentation of speech signal with simultaneous speaker-independent classification of segments is proposed. This approach improves accuracy of the speaker model and eliminates disagreement between training and recognizable context.
Ключові слова: speaker identification, wide phonetic classes, speaker model, Gaussian mixture model, speech signal segmentation, clustering of phonemes
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