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1
Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon
In: https://hal.archives-ouvertes.fr/hal-03140680 ; 2021 (2021)
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2
Kurdish spoken dialect recognition using x-vector speaker embeddings
In: https://hal.archives-ouvertes.fr/hal-03262435 ; 2021 (2021)
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3
CKMorph: A Comprehensive Morphological Analyzer for Central Kurdish ...
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Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon ...
Abstract: In this paper, we introduce the first large vocabulary speech recognition system (LVSR) for the Central Kurdish language, named Jira. The Kurdish language is an Indo-European language spoken by more than 30 million people in several countries, but due to the lack of speech and text resources, there is no speech recognition system for this language. To fill this gap, we introduce the first speech corpus and pronunciation lexicon for the Kurdish language. Regarding speech corpus, we designed a sentence collection in which the ratio of di-phones in the collection resembles the real data of the Central Kurdish language. The designed sentences are uttered by 576 speakers in a controlled environment with noise-free microphones (called AsoSoft Speech-Office) and in Telegram social network environment using mobile phones (denoted as AsoSoft Speech-Crowdsourcing), resulted in 43.68 hours of speech. Besides, a test set including 11 different document topics is designed and recorded in two corresponding speech ...
Keyword: Artificial Intelligence cs.AI; FOS Computer and information sciences
URL: https://arxiv.org/abs/2102.07412
https://dx.doi.org/10.48550/arxiv.2102.07412
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5
Automatic Meter Classification of Kurdish Poems ...
Mahmudi, Aso; Veisi, Hadi. - : arXiv, 2021
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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
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7
Speech enhancement using hidden Markov models in Mel-frequency domain
In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 2, 205-220
OLC Linguistik
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