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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 – 10 of 10 1 The Multilingual TEDx Corpus for Speech Recognition and Translation ... Salesky, Elizabeth; Wiesner, Matthew; Bremerman, Jacob. - : arXiv, 2021 BASE Show details 2 End-to-end ASR to jointly predict transcriptions and linguistic annotations ... NAACL 2021 2021; Fujita, Yuya; Omachi, Motoi. - : Underline Science Inc., 2021 BASE Show details 3 A Corpus for Large-Scale Phonetic Typology ... Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - : arXiv, 2020 BASE Show details 4 A Corpus for Large-Scale Phonetic Typology ... Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - : ETH Zurich, 2020 BASE Show details 5 A corpus for large-scale phonetic typology Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - 2020 BASE Show details 6 A Corpus for Large-Scale Phonetic Typology Chodroff, Eleanor; Cotterell, Ryan; Wiesner, Matthew... In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020) BASE Show details 7 Massively Multilingual Adversarial Speech Recognition ... Adams, Oliver; Wiesner, Matthew; Watanabe, Shinji; Yarowsky, David. - : arXiv, 2019 Abstract: We report on adaptation of multilingual end-to-end speech recognition models trained on as many as 100 languages. Our findings shed light on the relative importance of similarity between the target and pretraining languages along the dimensions of phonetics, phonology, language family, geographical location, and orthography. In this context, experiments demonstrate the effectiveness of two additional pretraining objectives in encouraging language-independent encoder representations: a context-independent phoneme objective paired with a language-adversarial classification objective. ... : Accepted at NAACL-HLT 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.1904.02210 https://arxiv.org/abs/1904.02210 BASE Hide details 8 Analysis of Multilingual Sequence-to-Sequence speech recognition systems ... Karafiát, Martin; Baskar, Murali Karthick; Watanabe, Shinji. - : arXiv, 2018 BASE Show details 9 Low-Resource Contextual Topic Identification on Speech ... Liu, Chunxi; Wiesner, Matthew; Watanabe, Shinji. - : arXiv, 2018 BASE Show details 10 Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling ... Cho, Jaejin; Baskar, Murali Karthick; Li, Ruizhi. - : arXiv, 2018 BASE Show details

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