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Evaluating User Preferences in Machine Translation Using Conjoint Analysis.

, , and . EAMT, page 119-126. European Association for Machine Translation, (2012)

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Self-attention Networks for Connectionist Temporal Classification in Speech Recognition., , and . ICASSP, page 7115-7119. IEEE, (2019)Transformer-Transducers for Code-Switched Speech Recognition., , , and . CoRR, (2020)Mask the Bias: Improving Domain-Adaptive Generalization of CTC-Based ASR with Internal Language Model Estimation., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment., , and . NAACL-HLT, page 1920-1927. Association for Computational Linguistics, (2021)Personalization of CTC Speech Recognition Models., , , , , and . SLT, page 302-309. IEEE, (2022)Evaluating User Preferences in Machine Translation Using Conjoint Analysis., , and . EAMT, page 119-126. European Association for Machine Translation, (2012)Unsupervised Translation Disambiguation for Cross-Domain Statistical Machine Translation., and . AMTA, Association for Machine Translation in the Americas, (2020)Multi-Stream Network with Temporal Attention for Environmental Sound Classification., , and . INTERSPEECH, page 3604-3608. ISCA, (2019)Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems., , , , , and . INTERSPEECH, page 684-688. ISCA, (2022)Speaker-Conversation Factorial Designs for Diarization Error Analysis., , and . Interspeech, page 756-760. ISCA, (2021)