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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon Veisi, Hadi; Hosseini, Hawre; Mohammadamini, Mohammad... In: https://hal.archives-ouvertes.fr/hal-03140680 ; 2021 (2021) BASE Show details 2 Kurdish spoken dialect recognition using x-vector speaker embeddings Amani, Arash; Mohammadamini, Mohammad; Veisi, Hadi In: https://hal.archives-ouvertes.fr/hal-03262435 ; 2021 (2021) BASE Show details 3 CKMorph: A Comprehensive Morphological Analyzer for Central Kurdish ... Naserzade, Morteza; Mahmudi, Aso; Veisi, Hadi. - : arXiv, 2021 BASE Show details 4 Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon ... Veisi, Hadi; Hosseini, Hawre; Mohammadamini, Mohammad. - : arXiv, 2021 BASE Show details 5 Automatic Meter Classification of Kurdish Poems ... Mahmudi, Aso; Veisi, Hadi. - : arXiv, 2021 Abstract: Most of the classic texts in Kurdish literature are poems. Knowing the meter of the poems is helpful for correct reading, a better understanding of the meaning, and avoidance of ambiguity. This paper presents a rule-based method for automatic classification of the poem meter for the Central Kurdish language. The metrical system of Kurdish poetry is divided into three classes of quantitative, syllabic, and free verses. As the vowel length is not phonemic in the language, there are uncertainties in syllable weight and meter identification. The proposed method generates all the possible situations and then, by considering all lines of the input poem and the common meter patterns of Kurdish poetry, identifies the most probable meter type and pattern of the input poem. Evaluation of the method on a dataset from VejinBooks Kurdish corpus resulted in 97.3% of precision in meter type and 96.2% of precision in pattern identification. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2102.12109 https://dx.doi.org/10.48550/arxiv.2102.12109 BASE Hide details 6 Scalable and Language-Independent Embedding-based Approach for Plagiarism Detection Considering Obfuscation Type: No Training Phase Gharavi, Erfaneh; Veisi, Hadi; Rosso, Paolo. - : Springer-Verlag, 2020 BASE Show details 7 Speech enhancement using hidden Markov models in Mel-frequency domain Veisi, Hadi; Sameti, Hossein In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 2, 205-220 OLC Linguistik Show details

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