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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 – 8 of 8 1 Code-Switching Text Augmentation for Multilingual Speech Processing ... Hussein, Amir; Chowdhury, Shammur Absar; Abdelali, Ahmed. - : arXiv, 2022 BASE Show details 2 Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech ... Mubarak, Hamdy; Hassan, Sabit; Chowdhury, Shammur Absar. - : arXiv, 2022 BASE Show details 3 What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis ... Chowdhury, Shammur Absar; Durrani, Nadir; Ali, Ahmed. - : arXiv, 2021 BASE Show details 4 QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus ... Mubarak, Hamdy; Hussein, Amir; Chowdhury, Shammur Absar. - : arXiv, 2021 BASE Show details 5 Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR ... Chowdhury, Shammur Absar; Hussein, Amir; Abdelali, Ahmed; Ali, Ahmed. - : arXiv, 2021 Abstract: With the advent of globalization, there is an increasing demand for multilingual automatic speech recognition (ASR), handling language and dialectal variation of spoken content. Recent studies show its efficacy over monolingual systems. In this study, we design a large multilingual end-to-end ASR using self-attention based conformer architecture. We trained the system using Arabic (Ar), English (En) and French (Fr) languages. We evaluate the system performance handling: (i) monolingual (Ar, En and Fr); (ii) multi-dialectal (Modern Standard Arabic, along with dialectal variation such as Egyptian and Moroccan); (iii) code-switching -- cross-lingual (Ar-En/Fr) and dialectal (MSA-Egyptian dialect) test cases, and compare with current state-of-the-art systems. Furthermore, we investigate the influence of different embedding/character representations including character vs word-piece; shared vs distinct input symbol per language. Our findings demonstrate the strength of such a model by outperforming ... : Accepted in INTERSPEECH 2021, Multilingual ASR, Multi-dialectal ASR, Code-Switching ASR, Arabic ASR, Conformer, Transformer, E2E ASR, Speech Recognition, ASR, Arabic, English, French ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Human-Computer Interaction cs.HC; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.2105.14779 https://arxiv.org/abs/2105.14779 BASE Hide details 6 A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models ... Alam, Firoj; Hasan, Arid; Alam, Tanvirul. - : arXiv, 2021 BASE Show details 7 Sentiment Classification in Bangla Textual Content: A Comparative Study ... Hasan, Md. Arid; Tajrin, Jannatul; Chowdhury, Shammur Absar. - : arXiv, 2020 BASE Show details 8 Cross-language transfer of semantic annotation via targeted crowdsourcing: task design and evaluation [<Journal>] Stepanov, Evgeny A. [Verfasser]; Chowdhury, Shammur Absar [Sonstige]; Bayer, Ali Orkan [Sonstige]. DNB Subject Category Language Show details

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