Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/20831
Title: | A Ubiquitous Application for Arabic Speech Recognition |
Authors: | Dendani, Bilal Bahi, Halima Sari, Toufik |
Keywords: | ubiquitous computing automatic speech recognition network speech recognition |
Issue Date: | 4-Mar-2019 |
Publisher: | Université Kasdi Merbah Ouargla |
Series/Report no.: | 2019; |
Abstract: | The technology of Automatic Speech Recognition (ASR) can be embedded in hand-held devices or reached remotely through the use of server-based speech recognition approaches. We design and implement a ubiquitous speech recognition application for the Arabic language. We select a network-based model for the design and the deployment after a comparison made between speech recognition techniques. We analyze the performance of Arabic speakers through the Arabic speech corpus of isolated words. The experimental results are encouraging to improve the accuracy and efficiency of the proposed system despite the environmental challenges and degradation due to speech coding, the channel itself and the noises affecting speech recognition performance. |
Description: | Le 2eme Conference Internationale sur intelligence Artificielle et les Technologies Information ICAIIT 2019 |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/20831 |
Appears in Collections: | 2. Faculté des nouvelles technologies de l’information et de la communication |
Files in This Item:
File | Description | Size | Format | |
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Bilal Dendani.pdf | 706,73 kB | Adobe PDF | View/Open |
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