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What do end-to-end speech models learn about speaker, language and channel information? A layer-wise and neuron-level analysis., , and . Comput. Speech Lang., (January 2024)Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition., , , , , and . SLT, page 777-784. IEEE, (2022)ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination., , , and . LREC, page 3220-3230. European Language Resources Association, (2022)Cross-language transfer of semantic annotation via targeted crowdsourcing., , , , , and . INTERSPEECH, page 2108-2112. ISCA, (2014)Annotating and categorizing competition in overlap speech., , and . ICASSP, page 5316-5320. IEEE, (2015)LAraBench: Benchmarking Arabic AI with Large Language Models., , , , , , , , , and 7 other author(s). EACL (1), page 487-520. Association for Computational Linguistics, (2024)KARI: KAnari/QCRI's End-to-End systems for the INTERSPEECH 2021 Indian Languages Code-Switching Challenge., , and . CoRR, (2021)QVoice: Arabic Speech Pronunciation Learning Application., , , , , and . INTERSPEECH, page 3677-3678. ISCA, (2023)Speech Collage: Code-Switched Audio Generation by Collaging Monolingual Corpora., , , , , , , , and . ICASSP, page 12006-12010. IEEE, (2024)Unsupervised recognition and clustering of speech overlaps in spoken conversations., , and . SLAM@INTERSPEECH, page 62-66. ISCA, (2014)