Results 91 to 100 of about 1,383,551 (338)

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

The Speech Segmentation Module on the basis of Spectrum Variation Analysis

Безопасность информационных технологий, 2011
Speech segmentation is intended for separation of homogeneous oscillation parts of the signal which correspond to different types of phonemes. The speech segmentation module is the fundamental element of speechlike signal generating systems for ...
O.B. Zelmanskiy, A. G. Davidov
doaj  

Segmentation ART: A Neural Network for Word Recognition from Continuous Speech [PDF]

, 1998
The Segmentation ATIT (Adaptive Resonance Theory) network for word recognition from a continuous speech stream is introduced. An input sequeuce represents phonemes detected at a preproccesing stage.
Carpenter, Gail A., Wilson, Frank D. M.
core   +1 more source

Joint morphological-lexical language modeling for processing morphologically rich languages with application to dialectal Arabic [PDF]

, 2007
Language modeling for an inflected language such as Arabic poses new challenges for speech recognition and machine translation due to its rich morphology.
Afify, Mohamed, Deng, Yonggang, Erdogan, Hakan, Erdoğan, Hakan, Gao, Yuqing, Sarıkaya, Ruhi, Sarikaya, Ruhi   +6 more
core   +2 more sources

More Temporally Segmented Speech [PDF]

The Journal of the Acoustical Society of America, 1973
The intelligibility of alternated spech passes through a minimum at an alternation rate of about 3 Hz. The critical parameter defining the minimum is not the duration of the bursts of speech reaching the listener, but rather the amount of speech each burst contains [J. Acoust. Soc. Amer. 36, 1055 (1964)]. Recent work with temporally segmented speech [J.
openaire   +1 more source

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

FEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig, Swanhild Lohse, Sara Elahi, Nils Hartmann, Stefanie Deckert, Shutian Si, Alexander Desuki, Anja Harder   +7 more
wiley   +1 more source

Syllable Segmentation with Vowel Detection on Verse Quranic Recitation

JOIV: International Journal on Informatics Visualization
In speech recognition, segmentation involves partitioning a continuous audio signal containing speech into smaller units or segments, such as words, phonemes, or syllables.
Timor Setiyaningsih, Mohd Sanusi Azmi, Azah Kamilah Draman   +2 more
doaj   +1 more source

Syllabic Segmentation Algorithm of Arabic Word [PDF]

المجلة العراقية للعلوم الاحصائية, 2008
An experimental evaluation of an automatic algorithm for segmentation of speech into Arabic syllabic units is reported here. The parameter used for segmentation is the energy and statistical parameter of acoustic signal and depending on the ...
Faten B. Sofya, Mahdi F.M. Al-Obadi
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

An embedded segmental K-means model for unsupervised segmentation and clustering of speech [PDF]

Automatic Speech Recognition & Understanding, 2017
Unsupervised segmentation and clustering of unlabelled speech are core problems in zero-resource speech processing. Most approaches lie at methodological extremes: some use probabilistic Bayesian models with convergence guarantees, while others opt for ...
H. Kamper, Karen Livescu, Sharon Goldwater   +2 more
semanticscholar   +1 more source