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Combining recurrent neural networks and factored language models during decoding of code-Switching speech.

, , , , and . INTERSPEECH, page 1415-1419. ISCA, (2014)

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Error Correction based on Error Signatures applied to automatic speech recognition.. Karlsruhe Institute of Technology, (2015)Features for factored language models for code-Switching speech., , , , , and . SLTU, page 32-38. ISCA, (2014)Continuous speech recognition from ECoG., , , , , , and . INTERSPEECH, page 1131-1135. ISCA, (2015)Comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding., , , , and . INTERSPEECH, page 651-655. ISCA, (2014)Syntactic and Semantic Features For Code-Switching Factored Language Models., , , , and . CoRR, (2017)BioKIT - real-time decoder for biosignal processing., , , , , , , , , and 2 other author(s). INTERSPEECH, page 2650-2654. ISCA, (2014)Towards Automatic Transcription of ILSE ― an Interdisciplinary Longitudinal Study of Adult Development and Aging., , , , , and . LREC, European Language Resources Association (ELRA), (2016)Accent- and speaker-specific polyphone decision trees for non-native speech recognition., and . INTERSPEECH, page 3313-3316. ISCA, (2013)Combining recurrent neural networks and factored language models during decoding of code-Switching speech., , , , and . INTERSPEECH, page 1415-1419. ISCA, (2014)Integration of language identification into a recognition system for spoken conversations containing code-Switches., , , , , , , and . SLTU, page 76-79. ISCA, (2012)