Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bassam Ali Al-Qatab"'
Autor:
Zeyad Ghaleb Al-Mekhlafi, Saima Anwar Lashari, Jalal Mohammed Hachim Altmemi, Mahmood A. Al-Shareeda, Badiea Abdulkarem Mohammed, Amer A. Sallam, Bassam Ali Al-Qatab, Mohammad T. Alshammari, Abdulaziz M. Alayba
Publikováno v:
IEEE Access, Vol 12, Pp 100152-100166 (2024)
The fast development of vehicle technology and the appearance of 5G networks have brought new opportunities as well as challenges for vehicular fog computing. On the one hand, these advances would bring a safer, more efficient, and comfortable car on
Externí odkaz:
https://doaj.org/article/c140d739e8614c089255920c1b124acb
Autor:
Badiea Abdulkarem Mohammed, Mahmood A. Al-Shareeda, Abeer Abdullah Alsadhan, Zeyad Ghaleb Al-Mekhlafi, Amer A. Sallam, Bassam Ali Al-Qatab, Mohammad T. Alshammari, Abdulaziz M. Alayba
Publikováno v:
IEEE Access, Vol 12, Pp 33089-33099 (2024)
The driving experience in fifth-generation (5G)-assisted vehicular fog computing systems has improved thanks to recent advancements in intelligent transportation. However, in the present vehicular system setup, the phenomenon of providing low computa
Externí odkaz:
https://doaj.org/article/8481976cc845442f923934dc3d86a800
Publikováno v:
IEEE Access, Vol 9, Pp 18183-18194 (2021)
The automatic speech recognition (ASR) system is increasingly being applied as assistive technology in the speech impaired community, for individuals with physical disabilities such as dysarthric speakers. However, the effectiveness of the ASR system
Externí odkaz:
https://doaj.org/article/43f442aeeb204e7491afb54fde207d84
Publikováno v:
IEEE Access, Vol 9, Pp 18183-18194 (2021)
The automatic speech recognition (ASR) system is increasingly being applied as assistive technology in the speech impaired community, for individuals with physical disabilities such as dysarthric speakers. However, the effectiveness of the ASR system
Publikováno v:
International Journal of Simulation Systems Science & Technology.
Publikováno v:
2014 8th Asia Modelling Symposium.
Automatic speech recognition (ASR) for dysarthric speakers is one of the most challenging research areas. The lack of corpus for dysarthric speakers makes it even more difficult. This paper introduces the Intra-Severity adaptation, using small amount
Autor:
Mumtaz Begum Mustafa, Noraini Mohamed, Chng Eng Siong, Siti Salwah Salim, Bassam Ali Al-Qatab
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e86285 (2014)
PLoS ONE
PLoS ONE
Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping individuals with speech impairment in their communication ability. One challenge in ASR for speech-impaired individuals is the difficulty in obtainin
Autor:
Raja Noor Ainon, Bassam Ali Al-Qatab
Publikováno v:
2010 International Symposium on Information Technology.
In this paper we discuss the development and implementation of an Arabic automatic speech recognition engine. The engine can recognize both continuous speech and isolated words. The system was developed using the Hidden Markov Model Toolkit. First, a
Autor:
Roziati Zainuddin, Bassam Ali Al-Qatab, Mohammad A. M. Abushariah, Raja Noor Ainon, Assal Ali Mustafa Alqudah
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642162015
IWSDS
IWSDS
Being current formal linguistic standard and only acceptable form of Arabic language for all native speakers, Modern Standard Arabic (MSA) still lacks sufficient spoken corpora compared to other forms like Dialectal Arabic. This paper describes our w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c9110a92b878ae41ec28e8b1b27295a
https://doi.org/10.1007/978-3-642-16202-2_1
https://doi.org/10.1007/978-3-642-16202-2_1