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Comparison of methods for language-dependent and language-independent query-by-example spoken term detection.

, , , , and . ACM Trans. Inf. Syst., 30 (3): 18:1-18:34 (2012)

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Residual Memory Networks: Feed-forward approach to learn long temporal dependencies., , , , , and . CoRR, (2018)But neural network features for spontaneous Vietnamese in BABEL., , , and . ICASSP, page 5622-5626. IEEE, (2014)Probabilistic and Bottle-Neck Features for LVCSR of Meetings., , , and . ICASSP (4), page 757-760. IEEE, (2007)Boosting performance on low-resource languages by standard corpora: An analysis., and . SLT, page 629-636. IEEE, (2016)Combinations of TRAP Based Systems.. TSD, volume 3206 of Lecture Notes in Computer Science, page 323-330. Springer, (2004)Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge., , , , and . INTERSPEECH, page 2454-2458. ISCA, (2015)Bottle-Neck Feature Extraction Structures for Multilingual Training and Porting., and . SLTU, volume 81 of Procedia Computer Science, page 144-151. Elsevier, (2016)Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages., , , , , and . ICASSP, page 5789-5793. IEEE, (2018)Residual memory networks: Feed-forward approach to learn long-term temporal dependencies., , , , , and . ICASSP, page 4810-4814. IEEE, (2017)Further Progress in Meeting Recognition: The ICSI-SRI Spring 2005 Speech-to-Text Evaluation System., , , , , , , , , and . MLMI, volume 3869 of Lecture Notes in Computer Science, page 463-475. Springer, (2005)