Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Mansour M. Alghamdi"'
Autor:
Yasser Mohammad Seddiq, Yousef Ajami Alotaibi, Ali H. Meftah, Ahmed B. Ibrahim, Sid-Ahmed Selouani, Mansour M. Alghamdi, Saleh A. Alshebeili, Mustafa A. Qamhan
Publikováno v:
IEEE Access, Vol 8, Pp 200395-200411 (2020)
Distinctive phonetic features have an important role in Arabic speech phoneme recognition. In a given language, distinctive phonetic features are extrapolated from acoustic features using different methods. However, exploiting lengthy acoustic featur
Autor:
Ali H. Meftah, Mansour M. Alghamdi, Yousef Ajami Alotaibi, Sid-Ahmed Selouani, Yasser Mohammad Seddiq
Publikováno v:
International Journal of Speech Technology. 21:907-913
Distinctive phonetic features (DPFs) provide the description of phonemes’ places and manners of articulation. Several, sometimes contradictory, views and definitions of the DPF elements of Modern Standard Arabic have been proposed in the phonology
Autor:
Abdulaziz Alharbi, Mohamed Al-Badrashiny, Mansour M. Alghamdi, Mohamed Alkanhal, Abdulaziz O. Al-Qabbany, Ali M. Areshey
Publikováno v:
AI Communications. 27:103-111
Essay writing is widely used for student performance assessment. This paper presents a hybrid automatic essay scoring system AES for Arabic essays. The system attempts at saving the time teachers spend on reading and scoring Arabic essays. It utilize
Autor:
Mansour M. Alghamdi
Publikováno v:
Journal of the International Phonetic Association. 45:183-185
Publikováno v:
EMS
KACST Arabic Phonetic Database (KAPD) has been in use by researchers for around fifteen years since its initial release. Researches in acoustics and phonetics have benefited from its phonetically rich content. In fact, KAPD has the potential to go fu
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 20:2111-2122
This paper presents a stochastic-based approach for misspelling correction of Arabic text. In this approach, a context-based two-layer system is utilized to automatically correct misspelled words in large datasets. The first layer produces a list in
Publikováno v:
Journal of Information Technology Research. 2:67-80
Phonetic dictionaries are essential components of large-vocabulary speaker-independent speech recognition systems. This paper presents a rule-based technique to generate phonetic dictionaries for a large vocabulary Arabic speech recognition system. T
Autor:
Mohamed Alkanhal, Munir M. El-Desouki, Ammar Alenazi, Mansour M. Alghamdi, F.A. Alhargan, A. Alkhairy
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 20:45-64
The aim of this paper is to present an Arabic speech database that represents Arabic native speakers from all the cities of Saudi Arabia. The database is called the Saudi Accented Arabic Voice Bank (SAAVB). Preparing the prompt sheets, selecting the
Publikováno v:
International Journal of Speech Technology. 10:183-195
This paper describes the development of an Arabic broadcast news transcription system. The presented system is a speaker-independent large vocabulary natural Arabic speech recognition system, and it is intended to be a test bed for further research i
Autor:
Mansour M. Alghamdi
Publikováno v:
Journal of King Abdulaziz University-Engineering Sciences. 16:31-66
Since the invention of the International Phonetic Alphabet (IPA) in 1886, it remains the only alphabet that can represent all the sounds of world languages. However, the IPA symbols are based on the Roman letters. This means that speakers of language