Detail Stochastic Speaker Recognition Model   Oleh:  Zimmermann, Julius ; Zimmermann, Julius [Jr.] Jenis: Article from Journal Dalam koleksi: SKASE: Journal of Theoretical Linguistics vol. 2 no. 1 (Jan. 2005), page 2-8. Fulltext: 01.pdf (156.66KB) Isi artikel The task of speech processing is being spread over last years with speaker recognition, which consists of speaker identification and speaker verification. In the paper there is an explained method which uses the stochastic model to solve this task. The experiment has been done using hidden Markov models by means of HTK tool software. Testing speech materials consist of 200 speakers from corpus SpeechDat-Sk. Applied experiments reached the efficiency between 92,86% and 100%. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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