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1
Massively Multilingual Adversarial Speech Recognition ...
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
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2
Analysis of Multilingual Sequence-to-Sequence speech recognition systems ...
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Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling ...
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