Výsledky vyhledávání - "Asma, Mansour"

Student Teachers’ Development of Reflective Practice concerning Teaching Philosophy and Peer Observations

Autor: Asma Mansour Almusharraf

Publikováno v: Arab World English Journal, Vol 11, Iss 4, Pp 547-564 (2020)

This study examined the effect of utilizing e-portfolio reflection-enhancing tasks in a practicum course on developing student teachers' level of reflection. It sought to answer how engaging EFL student teachers in writing a teaching philosophy and p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::024debd893971b99b0b191344e16f65e
https://doi.org/10.31235/osf.io/vx94j

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Emotional speaker recognition in real life conditions using multiple descriptors and i-vector speaker modeling technique

Autor: Farah Chenchah, Zied Lachiri, Asma Mansour

Publikováno v: Multimedia Tools and Applications. 78:6441-6458

Emotional speaker recognition under real life conditions becomes an urgent need for several applications. This paper proposes a novel approach using multiple feature extraction methods and i-vector modeling technique in order to improve emotional spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1504229d902de5f6ca080f568c5689f1
https://doi.org/10.1007/s11042-018-6256-2

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Validation of the Arabic and Tunisian Arabic version of the KINDL questionnaires for children with diabetes type 1

Autor: Toni Maria Klein, Saayda Ben Becher, Asma Mansour, Arwa Ben Amor, Ulrike Ravens-Sieberer, L. Essaddam

Publikováno v: Libyan Journal of Medicine; Vol 14, No 1 (2019); 1-7
The Libyan Journal of Medicine
Libyan Journal of Medicine, Vol 14, Iss 1 (2019)

Aim : We aimed to validate the Arabic and Tunisian Arabic versions of diabetes- specific quality of life (QOL) instrument KINDL-R Diabetes Module for Tunisian children population with type 1 diabetes. Patients and methods : This a cross-sectional stu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::755d2a8251d0a0e1d71ba1992b2d7213
https://www.ajol.info/index.php/ljm/article/view/182707

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Impact of Enhancement for Coronary Artery Segmentation Based on Deep Learning Neural Network

Autor: Asma Kerkeni, Asma Ben Abdallah, Ahmed Ghazi Blaiech, Mohamed Hedi Bedoui, Asma Mansour

Publikováno v: Pattern Recognition and Image Analysis ISBN: 9783030313203
IbPRIA (2)

X-ray Coronary angiograms are intended to specify the global state of the artery system and therefore to detect and locate the zones of narrowing. Accurate coronary artery segmentation is a fundamental step in computer aided diagnosis of many disease

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66c9d0b0566ab60353ec9815cffd145b
https://doi.org/10.1007/978-3-030-31321-0_23

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A Comparative Study in Emotional Speaker Recognition in Noisy Environment

Autor: Zied Lachiri, Asma Mansour

Publikováno v: AICCSA

Emotional speaker recognition has emerged as an important challenging topic interesting recent researches. The purpose was enhancing the performance of speaker recognition degraded by emotions. Noise robustness becomes also a crucial parameter in spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b4b365bb4d34556c3c9a3366670ef4e8
https://doi.org/10.1109/aiccsa.2017.149

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SVM based Emotional Speaker Recognition using MFCC-SDC Features

Autor: Zied Lachiri, Asma Mansour

Publikováno v: International Journal of Advanced Computer Science and Applications. 8

Enhancing the performance of emotional speaker recognition process has witnessed an increasing interest in the last years. This paper highlights a methodology for speaker recognition under different emotional states based on the mul-ticlass Support V

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e894a179d3d434f80df9bd9257253176
https://doi.org/10.14569/ijacsa.2017.080471

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Emotional speaker recognition based on i-vector space model

Autor: Zied Lachiri, Farah Chenchah, Asma Mansour

Publikováno v: 2016 4th International Conference on Control Engineering & Information Technology (CEIT).

I-vector space feature has been recently proved to be very efficient in speaker recognition field. In this paper, we assess using the i-vector approach for emotional speaker recognition in order to boost the performance which is deteriorated by emoti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b0d4d7395f1a4313d8d20a75e54321ee
https://doi.org/10.1109/ceit.2016.7929127

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