A Hybrid Unsupervised Segmentation Algorithm for Arabic Speech Using Feature Fusion and a Genetic Algorithm (July 2018)

A Hybrid Unsupervised Segmentation Algorithm for Arabic Speech Using Feature Fusion and a Genetic Algorithm (July 2018)

Speech is the most natural form of human communication. Major achievements have been made in developing systems that automatically recognize human speech and respond to it. An important preprocessing step in speech recognition systems (and other applications) is segmentation. Such a step is importan...

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Bibliographic Details
Main Authors: Ahmed Hamdi Abo Absa, Mohamed Deriche, Moustafa Elshafei-Ahmed, Yahya Mohamed Elhadj, Biing-Hwang Juang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Automatic speech segmentation
Arabic speech
feature fusion
blind segmentation
implicit segmentation
Quran recitation
Online Access:https://ieeexplore.ieee.org/document/8423066/

Internet

https://ieeexplore.ieee.org/document/8423066/

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