کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6902131 | 1446498 | 2017 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Novel Arabic Text-independent Speaker Verification System based on Fuzzy Hidden Markov Model
ترجمه فارسی عنوان
یک سیستم تأیید هویت مستقل از متن عربی براساس مدل فازی مخفی مارکوف
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
The most important shortcoming of the current speaker verification methods (based on knowledge or possession) is that this process is not sure whether the holder of the given ID is the entitled one or an imposter. Using biometrics in the verification system is designated for minimizing this problem and decreasing the necessity of carrying the tokens. In this paper, a novel Arabic text-independent speaker verification system is presented. First of all, new speech features are proposed for speaker characterization, which denoted as Wavelet Packet Four-Directional Features (WPFDF). With the objective of speaker verification, the paper proposes a Fuzzy Hidden Markov Model, termed FHMM, where the kernel fuzzy c-means (KFCM) is extended to calculate fuzzy memberships of HMMs training samples. Thus, information loss is reduced as well as recognition rate is increased. The proposed approach reached 98.38% of recognition rate.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 117, 2017, Pages 274-286
Journal: Procedia Computer Science - Volume 117, 2017, Pages 274-286
نویسندگان
Rania M. Ghoniem, Khaled Shaalan,