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Lattice Extension and Vocabulary Adaptation for Turkish LVCSR.

, and . IEEE Trans. Speech Audio Process., 17 (1): 163-173 (2009)

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Converting Neural Network Language Models into back-off language models for efficient decoding in automatic speech recognition., , , and . ICASSP, page 8242-8246. IEEE, (2013)Bidirectional recurrent neural network language models for automatic speech recognition., , , and . ICASSP, page 5421-5425. IEEE, (2015)Syntactic and sub-lexical features for Turkish discriminative language models., , , and . ICASSP, page 5538-5541. IEEE, (2010)Unnormalized exponential and neural network language models., , , and . ICASSP, page 5416-5420. IEEE, (2015)A Universal Human Machine Speech Interaction Language for Robust Speech Recognition Applications., and . TSD, volume 3206 of Lecture Notes in Computer Science, page 261-268. Springer, (2004)Highlighting of Lecture Video Closed Captions., , and . SIU, page 1-4. IEEE, (2020)Dealing with Data Scarcity in Spoken Question Answering., , , and . LREC/COLING, page 4449-4455. ELRA and ICCL, (2024)Discriminative n-gram language modeling for Turkish., , , and . INTERSPEECH, page 825-828. ISCA, (2008)Lattice extension and rescoring based approaches for LVCSR of Turkish., and . INTERSPEECH, ISCA, (2006)Joint training of interpolated exponential n-gram models., , , , , , and . ASRU, page 25-30. IEEE, (2013)