Speaking style authentication using suprasegmental hidden markov models
Author
Source
University of Sharjah Journal of Pure and Applied Sciences
Issue
Vol. 5, Issue 2 (30 Jun. 2008), pp.41-65, 25 p.
Publisher
Publication Date
2008-06-30
Country of Publication
United Arab Emirates
No. of Pages
25
Main Subjects
Social Sciences (Multidisciplinary)
Telecommunications Engineering
Topics
Abstract AR
أن أهمية التأكد أو التحقق من نمط أو أسلوب الحديث بين البشر تكتسب اهتماما متزايد في الأوسط الهندسية.
هذه الأهمية تأتي من الطلب على تحسين و زيادة كفاءة اللغة بين الإنسان و الآلة.
عملنا في هذا البحث يركز على اقتراح, تنفيذ, و اختبار التحقق من نمط الحديث لنظم تعتمد على قبول أو رفض هوية نمط الكلام أو الحديث باستخدام طريقة (SPHMMS) Suprasegmental Hidden Markov Models.
اعتماد على هذه الطريقة, أظهرت نتائج بحثنا أن معدل تأكد نمط الكلام هو : 99 %, 37 %, 85 %, 60 %, 61 %, 59 %,41 %, 61 %, و 57 %, منتمون على التوالي إلى أساليب الكلام : حيادي, صياح, بطيء, عالي, لين, سريع, غاضب, سعيد, و خائف.
Abstract EN
The importance of speaking style authentication from human speech is gaining an increasing attention and concern from the engineering community.
The importance comes from the demand to enhance both the naturalness and efficiency of spoken language human-machine interface.
Our work in this research focuses on proposing, implementing, and testing speaker-dependent and text-dependent speaking style authentication (verification) systems that accept or reject the identity claim of a speaking style based on suprasegmental hidden Markov models (SPHMMs).
Based on using SPHMMs, our results show that the average speaking style authentication performance is : 99%, 37%, 85%, 60%, 61%, 59%, 41%, 61%, and 57% belonging respectively to the speaking styles : neutral, shouted, slow, loud, soft, fast, angry, happy, and fearful.
American Psychological Association (APA)
Shahin, Ismail. 2008. Speaking style authentication using suprasegmental hidden markov models. University of Sharjah Journal of Pure and Applied Sciences،Vol. 5, no. 2, pp.41-65.
https://search.emarefa.net/detail/BIM-26524
Modern Language Association (MLA)
Shahin, Ismail. Speaking style authentication using suprasegmental hidden markov models. University of Sharjah Journal of Pure and Applied Sciences Vol. 5, no. 2 (Jun. 2008), pp.41-65.
https://search.emarefa.net/detail/BIM-26524
American Medical Association (AMA)
Shahin, Ismail. Speaking style authentication using suprasegmental hidden markov models. University of Sharjah Journal of Pure and Applied Sciences. 2008. Vol. 5, no. 2, pp.41-65.
https://search.emarefa.net/detail/BIM-26524
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 63-65
Record ID
BIM-26524