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Proposed speech analyses method using the multiwavelet transform
Other Title(s)
طريقة مقترحة لتحليل الكلام باستخدام التحويل متعدد المويجة
Author
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 27, Issue 1 (30 Apr. 2014), pp.394-401, 8 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2014-04-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract EN
Speech is the first invented way of communication that human used age before the invention of writing.
In this paper, proposed method for speech analyses to extract features by using multiwavelet Transform (Repeated Row Preprocessing).The proposed system depends on the Euclidian differences of the coefficients of the multiwavelet Transform to determine the beast features of speech recognition.
Each sample value in the reference file is computed by taking the average value of four samples for the same data (four speakers for the same phoneme).
The result of the input data to every frame value in the reference file using the Euclidian distance to determine the frame with the minimum distance is said to be the "Best Match".
Simulation program using visual basic has been in order to determine final results
American Psychological Association (APA)
al-Khafaji, Bayda Jafar Sadiq. 2014. Proposed speech analyses method using the multiwavelet transform. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 27, no. 1, pp.394-401.
https://search.emarefa.net/detail/BIM-795019
Modern Language Association (MLA)
al-Khafaji, Bayda Jafar Sadiq. Proposed speech analyses method using the multiwavelet transform. Ibn al-Haitham Journal for Pure and Applied Science Vol. 27, no. 1 (Apr. 2014), pp.394-401.
https://search.emarefa.net/detail/BIM-795019
American Medical Association (AMA)
al-Khafaji, Bayda Jafar Sadiq. Proposed speech analyses method using the multiwavelet transform. Ibn al-Haitham Journal for Pure and Applied Science. 2014. Vol. 27, no. 1, pp.394-401.
https://search.emarefa.net/detail/BIM-795019
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 398-400
Record ID
BIM-795019