Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Husni Al-Muhtaseb"'
Autor:
Mohammed Alqmase, Husni Al-Muhtaseb
Publikováno v:
Social Network Analysis and Mining. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c870b0415b0d73f7945816f6d570d09
https://doi.org/10.1007/s13278-022-00871-2
https://doi.org/10.1007/s13278-022-00871-2
Autor:
Mohammad H. Yahia, Husni Al-Muhtaseb
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42b18b3638f62fd480d3f2dbbba64c10
https://doi.org/10.2139/ssrn.4007916
https://doi.org/10.2139/ssrn.4007916
Publikováno v:
Social Network Analysis and Mining. 11
Social media sites become a common means for sports fans to communicate. Understanding how social text contributes to increase or decrease sports-fanaticism is essential. The sports-fanaticism is a psychological emotion that carries a blind hatred (h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::531711f6dd3a50645ff88e1246923218
https://doi.org/10.1007/s13278-021-00757-9
https://doi.org/10.1007/s13278-021-00757-9
Autor:
Moustafa Elshafei, Wasfi G. Al-Khatib, Khalid M.O. Nahar, Husni Al-Muhtaseb, Mohammed M. Abu Shquier
Publikováno v:
International Journal of Speech Technology. 19:495-508
In attempt to increase the rate of Arabic phonemes recognition, we introduce a novel hybrid recognition algorithm. The algorithm is composed of the learning vector quantization (LVQ) and hidden Markov model (HMM). The hybrid algorithm used to recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6051e83d3f676bc2d1c5f1d11c5a902
https://doi.org/10.1007/s10772-016-9337-5
https://doi.org/10.1007/s10772-016-9337-5
Publikováno v:
International Journal of Speech Technology. 15:65-75
Pronunciation variation is a major obstacle in improving the performance of Arabic automatic continuous speech recognition systems. This phenomenon alters the pronunciation spelling of words beyond their listed forms in the pronunciation dictionary,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6ee24f4a0c29ecbbf2bf4e00c205a70
https://doi.org/10.1007/s10772-011-9122-4
https://doi.org/10.1007/s10772-011-9122-4
Publikováno v:
International Journal of Speech Technology. 14:419-426
One major source of suboptimal performance in automatic continuous speech recognition systems is misrecognition of small words. In general, errors resulting from small words are much more than errors resulting from long words. Therefore, compounding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::651ed766ea28526718c583500a26dca8
https://doi.org/10.1007/s10772-011-9121-5
https://doi.org/10.1007/s10772-011-9121-5
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9d4c6c70b2b6bf6648208ad05a9642b
https://doi.org/10.4018/jitr.2009062905
https://doi.org/10.4018/jitr.2009062905
Publikováno v:
Signal Processing. 88:2902-2912
This paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapping hierarchical windows are used to generate 16 features from each ver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6744fc6f5d593220bf3eb173b4d331c5
https://doi.org/10.1016/j.sigpro.2008.06.013
https://doi.org/10.1016/j.sigpro.2008.06.013
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2b93920bfda7b93bbd3d758101e084f
https://doi.org/10.1007/s10772-009-9026-8
https://doi.org/10.1007/s10772-009-9026-8
Publikováno v:
Information Sciences. 140:255-267
The paper proposes a diphone/sub-syllable method for Arabic Text-to-Speech (ATTS) systems. The proposed approach exploits the particular syllabic structure of the Arabic words. For good quality, the boundaries of the speech segments are chosen to occ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fd1482025aa5d55feaa2e59866a502a
https://doi.org/10.1016/s0020-0255(01)00175-x
https://doi.org/10.1016/s0020-0255(01)00175-x