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Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation.

, and . CoRR, (2019)

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Adapting machine translation models toward misrecognized speech with text-to-speech pronunciation rules and acoustic confusability., , , and . INTERSPEECH, page 2247-2251. ISCA, (2015)TRUSTERA: A Live Conversation Redaction System., , , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)FBK's machine translation systems for the IWSLT 2013 evaluation campaign., , , , and . IWSLT (Evaluation Campaign), (2013)MDI adaptation for the lazy: avoiding normalization in LM adaptation for lecture translation., and . IWSLT, page 244-251. ISCA, (2012)Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors., , , and . CoRR, (2019)Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors., , , and . INTERSPEECH, page 2635-2639. ISCA, (2017)FBK's machine translation systems for IWSLT 2012's TED lectures., , , and . IWSLT, page 61-68. ISCA, (2012)Assessing the impact of speech recognition errors on machine translation quality., and . AMTA, page 261-274. Association for Machine Translation in the Americas, (2014)Phonetically-oriented word error alignment for speech recognition error analysis in speech translation., and . ASRU, page 296-302. IEEE, (2015)Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation., and . CoRR, (2019)